Pandas Profiling Report

Dataset statistics

Number of variables	31
Number of observations	1000
Missing cells	3365
Missing cells (%)	10.9%
Total size in memory	7.8 MiB
Average record size in memory	8.0 KiB

Variable types

Numeric	1
Text	29
Unsupported	1

Alerts

`process_date` has constant value ""	Constant
`full_time_part_time_indicator` has 26 (2.6%) missing values	Missing
`preferred_skills` has 194 (19.4%) missing values	Missing
`additional_information` has 278 (27.8%) missing values	Missing
`hours_shift` has 606 (60.6%) missing values	Missing
`work_location_1` has 585 (58.5%) missing values	Missing
`recruitment_contact` has 1000 (100.0%) missing values	Missing
`post_until` has 669 (66.9%) missing values	Missing
`0` has unique values	Unique
`recruitment_contact` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2023-12-09 20:31:12.890825
Analysis finished	2023-12-09 20:31:15.685139
Duration	2.79 seconds
Software version	ydata-profiling v0.0.dev0
Download configuration	config.json

0
Real number (ℝ)

UNIQUE

Distinct	1000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	500.5

Minimum	1
Maximum	1000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	1
5-th percentile	50.95
Q1	250.75
median	500.5
Q3	750.25
95-th percentile	950.05
Maximum	1000
Range	999
Interquartile range (IQR)	499.5

Descriptive statistics

Standard deviation	288.8194361
Coefficient of variation (CV)	0.5770618104
Kurtosis	-1.2
Mean	500.5
Median Absolute Deviation (MAD)	250
Skewness	0
Sum	500500
Variance	83416.66667
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.1%
672	1	0.1%
659	1	0.1%
660	1	0.1%
661	1	0.1%
662	1	0.1%
663	1	0.1%
664	1	0.1%
665	1	0.1%
666	1	0.1%
Other values (990)	990	99.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%

Value	Count	Frequency (%)
1000	1	0.1%
999	1	0.1%
998	1	0.1%
997	1	0.1%
996	1	0.1%

job_id
Text

Distinct	914
Distinct (%)	91.4%
Missing	0
Missing (%)	0.0%
Memory size	61.6 KiB

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	6000
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	831 ?
Unique (%)	83.1%

Sample

1st row	592901
2nd row	595589
3rd row	587575
4th row	589409
5th row	598782

Value	Count	Frequency (%)
591278	3	0.3%
615137	3	0.3%
535215	3	0.3%
596285	2	0.2%
545815	2	0.2%
580604	2	0.2%
609164	2	0.2%
581073	2	0.2%
583761	2	0.2%
540908	2	0.2%
Other values (904)	977	97.7%

Most occurring characters

Value	Count	Frequency (%)
5	1021	17.0%
6	828	13.8%
0	680	11.3%
9	614	10.2%
8	588	9.8%
1	560	9.3%
3	453	7.5%
7	451	7.5%
2	420	7.0%
4	385	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	1021	17.0%
6	828	13.8%
0	680	11.3%
9	614	10.2%
8	588	9.8%
1	560	9.3%
3	453	7.5%
7	451	7.5%
2	420	7.0%
4	385	6.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	6000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	1021	17.0%
6	828	13.8%
0	680	11.3%
9	614	10.2%
8	588	9.8%
1	560	9.3%
3	453	7.5%
7	451	7.5%
2	420	7.0%
4	385	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	1021	17.0%
6	828	13.8%
0	680	11.3%
9	614	10.2%
8	588	9.8%
1	560	9.3%
3	453	7.5%
7	451	7.5%
2	420	7.0%
4	385	6.4%

agency
Text

Distinct	47
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Memory size	81.9 KiB

Length

Max length	30
Median length	28
Mean length	26.787
Min length	14

Characters and Unicode

Total characters	26787
Distinct characters	35
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	0.9%

Sample

1st row	TAXI & LIMOUSINE COMMISSION
2nd row	DEPT OF HEALTH/MENTAL HYGIENE
3rd row	HRA/DEPT OF SOCIAL SERVICES
4th row	OFF OF PAYROLL ADMINISTRATION
5th row	DEPT OF ENVIRONMENT PROTECTION

Value	Count	Frequency (%)
of	749	19.4%
dept	484	12.5%
health/mental	190	4.9%
hygiene	190	4.9%
department	163	4.2%
protection	155	4.0%
	155	4.0%
environment	149	3.9%
services	126	3.3%
hra/dept	109	2.8%
Other values (91)	1391	36.0%

Most occurring characters

Value	Count	Frequency (%)
E	2929	10.9%
	2861	10.7%
T	2634	9.8%
O	2204	8.2%
N	2145	8.0%
I	1617	6.0%
R	1373	5.1%
A	1345	5.0%
P	1078	4.0%
S	1025	3.8%
Other values (25)	7576	28.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	23434	87.5%
Space Separator	2861	10.7%
Other Punctuation	487	1.8%
Decimal Number	3	< 0.1%
Dash Punctuation	2	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	2929	12.5%
T	2634	11.2%
O	2204	9.4%
N	2145	9.2%
I	1617	6.9%
R	1373	5.9%
A	1345	5.7%
P	1078	4.6%
S	1025	4.4%
D	1021	4.4%
Other values (15)	6063	25.9%

Other Punctuation

Value	Count	Frequency (%)
/	299	61.4%
&	155	31.8%
.	17	3.5%
'	14	2.9%
#	2	0.4%

Decimal Number

Value	Count	Frequency (%)
1	1	33.3%
0	1	33.3%
7	1	33.3%

Space Separator

Value	Count	Frequency (%)
	2861	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23434	87.5%
Common	3353	12.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	2929	12.5%
T	2634	11.2%
O	2204	9.4%
N	2145	9.2%
I	1617	6.9%
R	1373	5.9%
A	1345	5.7%
P	1078	4.6%
S	1025	4.4%
D	1021	4.4%
Other values (15)	6063	25.9%

Common

Value	Count	Frequency (%)
	2861	85.3%
/	299	8.9%
&	155	4.6%
.	17	0.5%
'	14	0.4%
-	2	0.1%
#	2	0.1%
1	1	< 0.1%
0	1	< 0.1%
7	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26787	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	2929	10.9%
	2861	10.7%
T	2634	9.8%
O	2204	8.2%
N	2145	8.0%
I	1617	6.0%
R	1373	5.1%
A	1345	5.0%
P	1078	4.0%
S	1025	3.8%
Other values (25)	7576	28.3%

posting_type
Text

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	8000
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Internal
2nd row	External
3rd row	External
4th row	Internal
5th row	External

Value	Count	Frequency (%)
external	502	50.2%
internal	498	49.8%

Most occurring characters

Value	Count	Frequency (%)
n	1498	18.7%
t	1000	12.5%
e	1000	12.5%
r	1000	12.5%
a	1000	12.5%
l	1000	12.5%
E	502	6.3%
x	502	6.3%
I	498	6.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7000	87.5%
Uppercase Letter	1000	12.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	1498	21.4%
t	1000	14.3%
e	1000	14.3%
r	1000	14.3%
a	1000	14.3%
l	1000	14.3%
x	502	7.2%

Uppercase Letter

Value	Count	Frequency (%)
E	502	50.2%
I	498	49.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	1498	18.7%
t	1000	12.5%
e	1000	12.5%
r	1000	12.5%
a	1000	12.5%
l	1000	12.5%
E	502	6.3%
x	502	6.3%
I	498	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	1498	18.7%
t	1000	12.5%
e	1000	12.5%
r	1000	12.5%
a	1000	12.5%
l	1000	12.5%
E	502	6.3%
x	502	6.3%
I	498	6.2%

number_of_positions
Text

Distinct	20
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	56.8 KiB

Length

Max length	2
Median length	1
Mean length	1.024
Min length	1

Characters and Unicode

Total characters	1024
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	0.7%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	2
5th row	2

Value	Count	Frequency (%)
1	819	81.9%
2	81	8.1%
3	30	3.0%
4	17	1.7%
5	14	1.4%
10	8	0.8%
7	5	0.5%
15	4	0.4%
6	4	0.4%
9	3	0.3%
Other values (10)	15	1.5%

Most occurring characters

Value	Count	Frequency (%)
1	839	81.9%
2	84	8.2%
3	31	3.0%
5	22	2.1%
4	18	1.8%
0	12	1.2%
7	7	0.7%
6	5	0.5%
8	3	0.3%
9	3	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1024	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	839	81.9%
2	84	8.2%
3	31	3.0%
5	22	2.1%
4	18	1.8%
0	12	1.2%
7	7	0.7%
6	5	0.5%
8	3	0.3%
9	3	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1024	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	839	81.9%
2	84	8.2%
3	31	3.0%
5	22	2.1%
4	18	1.8%
0	12	1.2%
7	7	0.7%
6	5	0.5%
8	3	0.3%
9	3	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1024	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	839	81.9%
2	84	8.2%
3	31	3.0%
5	22	2.1%
4	18	1.8%
0	12	1.2%
7	7	0.7%
6	5	0.5%
8	3	0.3%
9	3	0.3%

business_title
Text

Distinct	776
Distinct (%)	77.6%
Missing	0
Missing (%)	0.0%
Memory size	87.9 KiB

Length

Max length	150
Median length	78
Mean length	32.75
Min length	4

Characters and Unicode

Total characters	32750
Distinct characters	74
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	642 ?
Unique (%)	64.2%

Sample

1st row	Program Coordinator, Office of Financial Stability
2nd row	HIV Clinical Technical Assistance Specialist, Bureau of Hepatitis, HIV, and STI
3rd row	ADMINSTRATIVE ASSISTANT TO THE DIRECTOR
4th row	Help Desk Level 1 Representative
5th row	CHIEF MARINE ENGINEER (DIESEL)

Value	Count	Frequency (%)
of	221	5.2%
bureau	146	3.5%
manager	110	2.6%
and	106	2.5%
director	93	2.2%
project	83	2.0%
health	82	1.9%
assistant	81	1.9%
analyst	80	1.9%
specialist	77	1.8%
Other values (774)	3134	74.4%

Most occurring characters

Value	Count	Frequency (%)
	3240	9.9%
e	2421	7.4%
i	1984	6.1%
a	1921	5.9%
t	1812	5.5%
r	1803	5.5%
n	1769	5.4%
o	1584	4.8%
s	1164	3.6%
l	887	2.7%
Other values (64)	14165	43.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	20295	62.0%
Uppercase Letter	8578	26.2%
Space Separator	3240	9.9%
Other Punctuation	327	1.0%
Dash Punctuation	103	0.3%
Open Punctuation	70	0.2%
Close Punctuation	70	0.2%
Decimal Number	53	0.2%
Control	14	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2421	11.9%
i	1984	9.8%
a	1921	9.5%
t	1812	8.9%
r	1803	8.9%
n	1769	8.7%
o	1584	7.8%
s	1164	5.7%
l	887	4.4%
c	874	4.3%
Other values (17)	4076	20.1%

Uppercase Letter

Value	Count	Frequency (%)
A	850	9.9%
E	813	9.5%
S	752	8.8%
C	708	8.3%
I	694	8.1%
T	570	6.6%
R	504	5.9%
P	499	5.8%
N	432	5.0%
O	413	4.8%
Other values (16)	2343	27.3%

Other Punctuation

Value	Count	Frequency (%)
,	248	75.8%
/	41	12.5%
&	21	6.4%
.	7	2.1%
'	5	1.5%
:	3	0.9%
@	2	0.6%

Decimal Number

Value	Count	Frequency (%)
1	24	45.3%
2	10	18.9%
3	10	18.9%
0	4	7.5%
4	3	5.7%
6	1	1.9%
5	1	1.9%

Control

Value	Count	Frequency (%)
	7	50.0%
	6	42.9%
	1	7.1%

Space Separator

Value	Count	Frequency (%)
	3240	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	103	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	70	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	70	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	28873	88.2%
Common	3877	11.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2421	8.4%
i	1984	6.9%
a	1921	6.7%
t	1812	6.3%
r	1803	6.2%
n	1769	6.1%
o	1584	5.5%
s	1164	4.0%
l	887	3.1%
c	874	3.0%
Other values (43)	12654	43.8%

Common

Value	Count	Frequency (%)
	3240	83.6%
,	248	6.4%
-	103	2.7%
(	70	1.8%
)	70	1.8%
/	41	1.1%
1	24	0.6%
&	21	0.5%
2	10	0.3%
3	10	0.3%
Other values (11)	40	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	32729	99.9%
None	21	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3240	9.9%
e	2421	7.4%
i	1984	6.1%
a	1921	5.9%
t	1812	5.5%
r	1803	5.5%
n	1769	5.4%
o	1584	4.8%
s	1164	3.6%
l	887	2.7%
Other values (60)	14144	43.2%

None

Value	Count	Frequency (%)
â	7	33.3%
	7	33.3%
	6	28.6%
	1	4.8%

civil_service_title
Text

Distinct	231
Distinct (%)	23.1%
Missing	0
Missing (%)	0.0%
Memory size	78.5 KiB

Length

Max length	32
Median length	28
Mean length	23.184
Min length	4

Characters and Unicode

Total characters	23184
Distinct characters	50
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	100 ?
Unique (%)	10.0%

Sample

1st row	COMMUNITY COORDINATOR
2nd row	CITY RESEARCH SCIENTIST
3rd row	ASSOCIATE JOB OPPORTUNITY SPEC
4th row	CLERICAL ASSOCIATE
5th row	CHIEF MARINE ENGINEER (DIESEL)

Value	Count	Frequency (%)
associate	147	5.2%
community	123	4.4%
city	117	4.1%
administrative	114	4.0%
research	87	3.1%
scientist	84	3.0%
specialist	81	2.9%
manager	80	2.8%
project	79	2.8%
analyst	76	2.7%
Other values (294)	1835	65.0%

Most occurring characters

Value	Count	Frequency (%)
I	2188	9.4%
A	2080	9.0%
T	2079	9.0%
E	2043	8.8%
	1825	7.9%
S	1708	7.4%
C	1582	6.8%
R	1500	6.5%
N	1483	6.4%
O	1289	5.6%
Other values (40)	5407	23.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	20947	90.4%
Space Separator	1825	7.9%
Open Punctuation	167	0.7%
Close Punctuation	99	0.4%
Dash Punctuation	50	0.2%
Decimal Number	46	0.2%
Other Punctuation	28	0.1%
Lowercase Letter	20	0.1%
Control	2	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	2188	10.4%
A	2080	9.9%
T	2079	9.9%
E	2043	9.8%
S	1708	8.2%
C	1582	7.6%
R	1500	7.2%
N	1483	7.1%
O	1289	6.2%
M	800	3.8%
Other values (14)	4195	20.0%

Lowercase Letter

Value	Count	Frequency (%)
i	3	15.0%
c	2	10.0%
y	2	10.0%
a	2	10.0%
r	2	10.0%
n	2	10.0%
t	2	10.0%
o	1	5.0%
u	1	5.0%
e	1	5.0%
Other values (2)	2	10.0%

Other Punctuation

Value	Count	Frequency (%)
/	10	35.7%
&	8	28.6%
#	5	17.9%
,	3	10.7%
'	2	7.1%

Decimal Number

Value	Count	Frequency (%)
1	18	39.1%
2	17	37.0%
3	11	23.9%

Control

Value	Count	Frequency (%)
	1	50.0%
	1	50.0%

Space Separator

Value	Count	Frequency (%)
	1825	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	167	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	99	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	50	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	20967	90.4%
Common	2217	9.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	2188	10.4%
A	2080	9.9%
T	2079	9.9%
E	2043	9.7%
S	1708	8.1%
C	1582	7.5%
R	1500	7.2%
N	1483	7.1%
O	1289	6.1%
M	800	3.8%
Other values (26)	4215	20.1%

Common

Value	Count	Frequency (%)
	1825	82.3%
(	167	7.5%
)	99	4.5%
-	50	2.3%
1	18	0.8%
2	17	0.8%
3	11	0.5%
/	10	0.5%
&	8	0.4%
#	5	0.2%
Other values (4)	7	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23181	> 99.9%
None	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	2188	9.4%
A	2080	9.0%
T	2079	9.0%
E	2043	8.8%
	1825	7.9%
S	1708	7.4%
C	1582	6.8%
R	1500	6.5%
N	1483	6.4%
O	1289	5.6%
Other values (37)	5404	23.3%

None

Value	Count	Frequency (%)
	1	33.3%
	1	33.3%
â	1	33.3%

title_classification
Text

Distinct	5
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	70.2 KiB

Length

Max length	24
Median length	13
Mean length	14.746
Min length	7

Characters and Unicode

Total characters	14746
Distinct characters	30
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Non-Competitive-5
2nd row	Non-Competitive-5
3rd row	Competitive-1
4th row	Competitive-1
5th row	Competitive-1

Value	Count	Frequency (%)
competitive-1	597	57.2%
non-competitive-5	342	32.8%
pending	43	4.1%
classification-2	43	4.1%
exempt-4	13	1.2%
labor-3	5	0.5%

Most occurring characters

Value	Count	Frequency (%)
i	2050	13.9%
e	1934	13.1%
t	1934	13.1%
-	1342	9.1%
o	1329	9.0%
C	982	6.7%
m	952	6.5%
p	952	6.5%
v	939	6.4%
1	597	4.0%
Other values (20)	1735	11.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10976	74.4%
Uppercase Letter	1385	9.4%
Dash Punctuation	1342	9.1%
Decimal Number	1000	6.8%
Space Separator	43	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	2050	18.7%
e	1934	17.6%
t	1934	17.6%
o	1329	12.1%
m	952	8.7%
p	952	8.7%
v	939	8.6%
n	471	4.3%
a	91	0.8%
s	86	0.8%
Other values (8)	238	2.2%

Uppercase Letter

Value	Count	Frequency (%)
C	982	70.9%
N	342	24.7%
P	43	3.1%
E	13	0.9%
L	5	0.4%

Decimal Number

Value	Count	Frequency (%)
1	597	59.7%
5	342	34.2%
2	43	4.3%
4	13	1.3%
3	5	0.5%

Dash Punctuation

Value	Count	Frequency (%)
-	1342	100.0%

Space Separator

Value	Count	Frequency (%)
	43	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12361	83.8%
Common	2385	16.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	2050	16.6%
e	1934	15.6%
t	1934	15.6%
o	1329	10.8%
C	982	7.9%
m	952	7.7%
p	952	7.7%
v	939	7.6%
n	471	3.8%
N	342	2.8%
Other values (13)	476	3.9%

Common

Value	Count	Frequency (%)
-	1342	56.3%
1	597	25.0%
5	342	14.3%
2	43	1.8%
	43	1.8%
4	13	0.5%
3	5	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14746	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	2050	13.9%
e	1934	13.1%
t	1934	13.1%
-	1342	9.1%
o	1329	9.0%
C	982	6.7%
m	952	6.5%
p	952	6.5%
v	939	6.4%
1	597	4.0%
Other values (20)	1735	11.8%

title_code_no
Text

Distinct	243
Distinct (%)	24.3%
Missing	0
Missing (%)	0.0%
Memory size	60.7 KiB

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	5000
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	111 ?
Unique (%)	11.1%

Sample

1st row	56058
2nd row	21744
3rd row	52316
4th row	10251
5th row	91523

Value	Count	Frequency (%)
21744	81	8.1%
56058	73	7.3%
56057	40	4.0%
10124	32	3.2%
10251	30	3.0%
10209	21	2.1%
22427	19	1.9%
13632	18	1.8%
30087	17	1.7%
20215	16	1.6%
Other values (233)	653	65.3%

Most occurring characters

Value	Count	Frequency (%)
0	943	18.9%
1	877	17.5%
2	753	15.1%
5	587	11.7%
6	399	8.0%
4	344	6.9%
3	290	5.8%
7	261	5.2%
8	259	5.2%
9	204	4.1%
Other values (6)	83	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4917	98.3%
Uppercase Letter	83	1.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	943	19.2%
1	877	17.8%
2	753	15.3%
5	587	11.9%
6	399	8.1%
4	344	7.0%
3	290	5.9%
7	261	5.3%
8	259	5.3%
9	204	4.1%

Uppercase Letter

Value	Count	Frequency (%)
A	37	44.6%
C	15	18.1%
B	14	16.9%
D	14	16.9%
F	2	2.4%
E	1	1.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	4917	98.3%
Latin	83	1.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	943	19.2%
1	877	17.8%
2	753	15.3%
5	587	11.9%
6	399	8.1%
4	344	7.0%
3	290	5.9%
7	261	5.3%
8	259	5.3%
9	204	4.1%

Latin

Value	Count	Frequency (%)
A	37	44.6%
C	15	18.1%
B	14	16.9%
D	14	16.9%
F	2	2.4%
E	1	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	943	18.9%
1	877	17.5%
2	753	15.1%
5	587	11.7%
6	399	8.0%
4	344	6.9%
3	290	5.8%
7	261	5.2%
8	259	5.2%
9	204	4.1%
Other values (6)	83	1.7%

level
Text

Distinct	17
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	57.7 KiB

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2000
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.2%

Sample

1st row	00
2nd row	02
3rd row	02
4th row	02
5th row	00

Value	Count	Frequency (%)
00	392	39.2%
02	199	19.9%
01	164	16.4%
03	128	12.8%
m2	26	2.6%
m4	25	2.5%
m1	21	2.1%
m3	16	1.6%
04	12	1.2%
4a	5	0.5%
Other values (7)	12	1.2%

Most occurring characters

Value	Count	Frequency (%)
0	1287	64.3%
2	225	11.2%
1	187	9.3%
3	144	7.2%
M	96	4.8%
4	44	2.2%
A	5	0.2%
B	4	0.2%
8	2	0.1%
Y	2	0.1%
Other values (3)	4	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1893	94.7%
Uppercase Letter	107	5.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1287	68.0%
2	225	11.9%
1	187	9.9%
3	144	7.6%
4	44	2.3%
8	2	0.1%
6	2	0.1%
5	1	0.1%
7	1	0.1%

Uppercase Letter

Value	Count	Frequency (%)
M	96	89.7%
A	5	4.7%
B	4	3.7%
Y	2	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	1893	94.7%
Latin	107	5.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1287	68.0%
2	225	11.9%
1	187	9.9%
3	144	7.6%
4	44	2.3%
8	2	0.1%
6	2	0.1%
5	1	0.1%
7	1	0.1%

Latin

Value	Count	Frequency (%)
M	96	89.7%
A	5	4.7%
B	4	3.7%
Y	2	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1287	64.3%
2	225	11.2%
1	187	9.3%
3	144	7.2%
M	96	4.8%
4	44	2.2%
A	5	0.2%
B	4	0.2%
8	2	0.1%
Y	2	0.1%
Other values (3)	4	0.2%

job_category
Text

Distinct	113
Distinct (%)	11.3%
Missing	0
Missing (%)	0.0%
Memory size	99.7 KiB

Length

Max length	201
Median length	141
Mean length	44.97
Min length	6

Characters and Unicode

Total characters	44970
Distinct characters	38
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50 ?
Unique (%)	5.0%

Sample

1st row	Constituent Services & Community Programs Finance, Accounting, & Procurement Policy, Research & Analysis
2nd row	Constituent Services & Community Programs Health Policy, Research & Analysis
3rd row	Administration & Human Resources Social Services
4th row	Technology, Data & Innovation Policy, Research & Analysis
5th row	Building Operations & Maintenance

Value	Count	Frequency (%)
	1139	20.5%
services	347	6.2%
research	198	3.6%
analysis	198	3.6%
policy	198	3.6%
constituent	193	3.5%
programs	193	3.5%
community	193	3.5%
architecture	180	3.2%
engineering	180	3.2%
Other values (23)	2540	45.7%

Most occurring characters

Value	Count	Frequency (%)
	4559	10.1%
n	4237	9.4%
e	3776	8.4%
i	3412	7.6%
t	2635	5.9%
a	2440	5.4%
c	2367	5.3%
r	2337	5.2%
o	2293	5.1%
s	2189	4.9%
Other values (28)	14725	32.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	33729	75.0%
Space Separator	4559	10.1%
Uppercase Letter	4420	9.8%
Other Punctuation	2262	5.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	4237	12.6%
e	3776	11.2%
i	3412	10.1%
t	2635	7.8%
a	2440	7.2%
c	2367	7.0%
r	2337	6.9%
o	2293	6.8%
s	2189	6.5%
l	1372	4.1%
Other values (10)	6671	19.8%

Uppercase Letter

Value	Count	Frequency (%)
P	796	18.0%
A	732	16.6%
S	634	14.3%
C	445	10.1%
E	313	7.1%
I	307	6.9%
R	304	6.9%
H	281	6.4%
D	115	2.6%
T	115	2.6%
Other values (5)	378	8.6%

Other Punctuation

Value	Count	Frequency (%)
&	1139	50.4%
,	1123	49.6%

Space Separator

Value	Count	Frequency (%)
	4559	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	38149	84.8%
Common	6821	15.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	4237	11.1%
e	3776	9.9%
i	3412	8.9%
t	2635	6.9%
a	2440	6.4%
c	2367	6.2%
r	2337	6.1%
o	2293	6.0%
s	2189	5.7%
l	1372	3.6%
Other values (25)	11091	29.1%

Common

Value	Count	Frequency (%)
	4559	66.8%
&	1139	16.7%
,	1123	16.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44970	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	4559	10.1%
n	4237	9.4%
e	3776	8.4%
i	3412	7.6%
t	2635	5.9%
a	2440	5.4%
c	2367	5.3%
r	2337	5.2%
o	2293	5.1%
s	2189	4.9%
Other values (28)	14725	32.7%

full_time_part_time_indicator
Text

MISSING

Distinct	2
Distinct (%)	0.2%
Missing	26
Missing (%)	2.6%
Memory size	56.1 KiB

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	974
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	F
2nd row	F
3rd row	F
4th row	F
5th row	F

Value	Count	Frequency (%)
f	930	95.5%
p	44	4.5%

Most occurring characters

Value	Count	Frequency (%)
F	930	95.5%
P	44	4.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	974	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
F	930	95.5%
P	44	4.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	974	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
F	930	95.5%
P	44	4.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	974	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
F	930	95.5%
P	44	4.5%

career_level
Text

Distinct	5
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	76.8 KiB

Length

Max length	25
Median length	25
Mean length	21.52
Min length	7

Characters and Unicode

Total characters	21520
Distinct characters	25
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Experienced (non-manager)
2nd row	Experienced (non-manager)
3rd row	Experienced (non-manager)
4th row	Experienced (non-manager)
5th row	Experienced (non-manager)

Value	Count	Frequency (%)
experienced	787	44.0%
non-manager	787	44.0%
manager	101	5.7%
entry-level	85	4.8%
student	20	1.1%
executive	7	0.4%

Most occurring characters

Value	Count	Frequency (%)
e	3453	16.0%
n	3354	15.6%
a	1776	8.3%
r	1760	8.2%
g	888	4.1%
E	879	4.1%
-	872	4.1%
d	807	3.8%
c	794	3.7%
i	794	3.7%
Other values (15)	6143	28.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	17202	79.9%
Uppercase Letter	1085	5.0%
Dash Punctuation	872	4.1%
Close Punctuation	787	3.7%
Open Punctuation	787	3.7%
Space Separator	787	3.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3453	20.1%
n	3354	19.5%
a	1776	10.3%
r	1760	10.2%
g	888	5.2%
d	807	4.7%
c	794	4.6%
i	794	4.6%
x	794	4.6%
m	787	4.6%
Other values (7)	1995	11.6%

Uppercase Letter

Value	Count	Frequency (%)
E	879	81.0%
M	101	9.3%
L	85	7.8%
S	20	1.8%

Dash Punctuation

Value	Count	Frequency (%)
-	872	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	787	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	787	100.0%

Space Separator

Value	Count	Frequency (%)
	787	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	18287	85.0%
Common	3233	15.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3453	18.9%
n	3354	18.3%
a	1776	9.7%
r	1760	9.6%
g	888	4.9%
E	879	4.8%
d	807	4.4%
c	794	4.3%
i	794	4.3%
x	794	4.3%
Other values (11)	2988	16.3%

Common

Value	Count	Frequency (%)
-	872	27.0%
)	787	24.3%
(	787	24.3%
	787	24.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21520	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	3453	16.0%
n	3354	15.6%
a	1776	8.3%
r	1760	8.2%
g	888	4.1%
E	879	4.1%
-	872	4.1%
d	807	3.8%
c	794	3.7%
i	794	3.7%
Other values (15)	6143	28.5%

salary_range_from
Text

Distinct	311
Distinct (%)	31.1%
Missing	0
Missing (%)	0.0%
Memory size	60.7 KiB

Length

Max length	8
Median length	5
Mean length	5.07
Min length	1

Characters and Unicode

Total characters	5070
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	155 ?
Unique (%)	15.5%

Sample

1st row	59116
2nd row	82506
3rd row	64495
4th row	35895
5th row	87792

Value	Count	Frequency (%)
59116	52	5.2%
82506	26	2.6%
62370	25	2.5%
58700	22	2.2%
75000	22	2.2%
92301	20	2.0%
15.5	19	1.9%
58682	19	1.9%
64922	16	1.6%
41887	16	1.6%
Other values (301)	763	76.3%

Most occurring characters

Value	Count	Frequency (%)
0	918	18.1%
5	607	12.0%
1	576	11.4%
7	525	10.4%
6	477	9.4%
8	421	8.3%
2	405	8.0%
4	384	7.6%
3	353	7.0%
9	330	6.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4996	98.5%
Other Punctuation	74	1.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	918	18.4%
5	607	12.1%
1	576	11.5%
7	525	10.5%
6	477	9.5%
8	421	8.4%
2	405	8.1%
4	384	7.7%
3	353	7.1%
9	330	6.6%

Other Punctuation

Value	Count	Frequency (%)
.	74	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5070	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	918	18.1%
5	607	12.0%
1	576	11.4%
7	525	10.4%
6	477	9.4%
8	421	8.3%
2	405	8.0%
4	384	7.6%
3	353	7.0%
9	330	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	918	18.1%
5	607	12.0%
1	576	11.4%
7	525	10.4%
6	477	9.4%
8	421	8.3%
2	405	8.0%
4	384	7.6%
3	353	7.0%
9	330	6.5%

salary_range_to
Text

Distinct	418
Distinct (%)	41.8%
Missing	0
Missing (%)	0.0%
Memory size	61.0 KiB

Length

Max length	8
Median length	5
Mean length	5.303
Min length	2

Characters and Unicode

Total characters	5303
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	238 ?
Unique (%)	23.8%

Sample

1st row	72000
2nd row	94363
3rd row	96790
4th row	53478
5th row	87792

Value	Count	Frequency (%)
91768	20	2.0%
94882	16	1.6%
130000	15	1.5%
93587	14	1.4%
69709	12	1.2%
19.9	12	1.2%
71726	12	1.2%
208826	11	1.1%
67983	11	1.1%
75000	11	1.1%
Other values (408)	866	86.6%

Most occurring characters

Value	Count	Frequency (%)
0	1162	21.9%
1	712	13.4%
7	536	10.1%
8	474	8.9%
6	441	8.3%
9	418	7.9%
5	418	7.9%
4	370	7.0%
3	361	6.8%
2	340	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5232	98.7%
Other Punctuation	71	1.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1162	22.2%
1	712	13.6%
7	536	10.2%
8	474	9.1%
6	441	8.4%
9	418	8.0%
5	418	8.0%
4	370	7.1%
3	361	6.9%
2	340	6.5%

Other Punctuation

Value	Count	Frequency (%)
.	71	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5303	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1162	21.9%
1	712	13.4%
7	536	10.1%
8	474	8.9%
6	441	8.3%
9	418	7.9%
5	418	7.9%
4	370	7.0%
3	361	6.8%
2	340	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5303	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1162	21.9%
1	712	13.4%
7	536	10.1%
8	474	8.9%
6	441	8.3%
9	418	7.9%
5	418	7.9%
4	370	7.0%
3	361	6.8%
2	340	6.4%

salary_frequency
Text

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	61.6 KiB

Length

Max length	6
Median length	6
Mean length	5.995
Min length	5

Characters and Unicode

Total characters	5995
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Annual
2nd row	Annual
3rd row	Annual
4th row	Annual
5th row	Annual

Value	Count	Frequency (%)
annual	921	92.1%
hourly	74	7.4%
daily	5	0.5%

Most occurring characters

Value	Count	Frequency (%)
n	1842	30.7%
l	1000	16.7%
u	995	16.6%
a	926	15.4%
A	921	15.4%
y	79	1.3%
H	74	1.2%
o	74	1.2%
r	74	1.2%
D	5	0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4995	83.3%
Uppercase Letter	1000	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	1842	36.9%
l	1000	20.0%
u	995	19.9%
a	926	18.5%
y	79	1.6%
o	74	1.5%
r	74	1.5%
i	5	0.1%

Uppercase Letter

Value	Count	Frequency (%)
A	921	92.1%
H	74	7.4%
D	5	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5995	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	1842	30.7%
l	1000	16.7%
u	995	16.6%
a	926	15.4%
A	921	15.4%
y	79	1.3%
H	74	1.2%
o	74	1.2%
r	74	1.2%
D	5	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5995	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	1842	30.7%
l	1000	16.7%
u	995	16.6%
a	926	15.4%
A	921	15.4%
y	79	1.3%
H	74	1.2%
o	74	1.2%
r	74	1.2%
D	5	0.1%

work_location
Text

Distinct	180
Distinct (%)	18.0%
Missing	0
Missing (%)	0.0%
Memory size	77.2 KiB

Length

Max length	30
Median length	27
Mean length	21.963
Min length	6

Characters and Unicode

Total characters	21963
Distinct characters	67
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	85 ?
Unique (%)	8.5%

Sample

1st row	33 Beaver St, New York Ny
2nd row	42-09 28th Street
3rd row	109 E 16Th St., N.Y.
4th row	5 Manhattan West
5th row	Wards Island, N.Y.

Value	Count	Frequency (%)
ny	277	6.5%
street	225	5.3%
st	222	5.2%
ave	164	3.9%
n.y	159	3.7%
30-30	99	2.3%
42-09	95	2.2%
28th	95	2.2%
i	81	1.9%
thomson	80	1.9%
Other values (385)	2759	64.8%

Most occurring characters

Value	Count	Frequency (%)
	3256	14.8%
e	1490	6.8%
t	1486	6.8%
r	1124	5.1%
o	857	3.9%
a	854	3.9%
n	844	3.8%
0	617	2.8%
N	553	2.5%
S	528	2.4%
Other values (57)	10354	47.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10773	49.1%
Uppercase Letter	3537	16.1%
Space Separator	3256	14.8%
Decimal Number	3145	14.3%
Other Punctuation	877	4.0%
Dash Punctuation	371	1.7%
Open Punctuation	2	< 0.1%
Close Punctuation	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1490	13.8%
t	1486	13.8%
r	1124	10.4%
o	857	8.0%
a	854	7.9%
n	844	7.8%
y	512	4.8%
h	463	4.3%
l	431	4.0%
i	412	3.8%
Other values (15)	2300	21.3%

Uppercase Letter

Value	Count	Frequency (%)
N	553	15.6%
S	528	14.9%
C	325	9.2%
Y	271	7.7%
A	236	6.7%
B	231	6.5%
T	186	5.3%
W	184	5.2%
E	168	4.7%
H	152	4.3%
Other values (14)	703	19.9%

Decimal Number

Value	Count	Frequency (%)
0	617	19.6%
5	467	14.8%
2	411	13.1%
1	398	12.7%
3	323	10.3%
9	274	8.7%
4	233	7.4%
6	162	5.2%
8	147	4.7%
7	113	3.6%

Other Punctuation

Value	Count	Frequency (%)
.	519	59.2%
,	342	39.0%
&	15	1.7%
/	1	0.1%

Space Separator

Value	Count	Frequency (%)
	3256	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	371	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	14310	65.2%
Common	7653	34.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1490	10.4%
t	1486	10.4%
r	1124	7.9%
o	857	6.0%
a	854	6.0%
n	844	5.9%
N	553	3.9%
S	528	3.7%
y	512	3.6%
h	463	3.2%
Other values (39)	5599	39.1%

Common

Value	Count	Frequency (%)
	3256	42.5%
0	617	8.1%
.	519	6.8%
5	467	6.1%
2	411	5.4%
1	398	5.2%
-	371	4.8%
,	342	4.5%
3	323	4.2%
9	274	3.6%
Other values (8)	675	8.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21963	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3256	14.8%
e	1490	6.8%
t	1486	6.8%
r	1124	5.1%
o	857	3.9%
a	854	3.9%
n	844	3.8%
0	617	2.8%
N	553	2.5%
S	528	2.4%
Other values (57)	10354	47.1%

division_work_unit
Text

Distinct	477
Distinct (%)	47.7%
Missing	0
Missing (%)	0.0%
Memory size	76.9 KiB

Length

Max length	38
Median length	24
Mean length	21.485
Min length	3

Characters and Unicode

Total characters	21485
Distinct characters	76
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	285 ?
Unique (%)	28.5%

Sample

1st row	Budget, Accounting & Purchasng
2nd row	HIV Programs
3rd row	Customized Assist Svc-NM
4th row	Citywide User Support
5th row	Marine Section

Value	Count	Frequency (%)
	164	5.7%
of	89	3.1%
office	66	2.3%
services	56	2.0%
management	47	1.6%
support	43	1.5%
information	31	1.1%
staff	27	0.9%
mgmt	27	0.9%
dept	24	0.8%
Other values (712)	2279	79.9%

Most occurring characters

Value	Count	Frequency (%)
	1848	8.6%
e	1438	6.7%
i	1180	5.5%
n	1132	5.3%
t	1071	5.0%
r	937	4.4%
a	922	4.3%
o	864	4.0%
s	727	3.4%
S	661	3.1%
Other values (66)	10705	49.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12229	56.9%
Uppercase Letter	6593	30.7%
Space Separator	1859	8.7%
Other Punctuation	499	2.3%
Dash Punctuation	207	1.0%
Decimal Number	50	0.2%
Open Punctuation	17	0.1%
Close Punctuation	17	0.1%
Math Symbol	11	0.1%
Control	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1438	11.8%
i	1180	9.6%
n	1132	9.3%
t	1071	8.8%
r	937	7.7%
a	922	7.5%
o	864	7.1%
s	727	5.9%
c	543	4.4%
l	474	3.9%
Other values (17)	2941	24.0%

Uppercase Letter

Value	Count	Frequency (%)
S	661	10.0%
E	531	8.1%
A	512	7.8%
N	479	7.3%
I	450	6.8%
M	425	6.4%
C	415	6.3%
T	410	6.2%
O	393	6.0%
P	378	5.7%
Other values (17)	1939	29.4%

Other Punctuation

Value	Count	Frequency (%)
/	261	52.3%
&	98	19.6%
.	96	19.2%
,	20	4.0%
'	18	3.6%
:	4	0.8%
#	2	0.4%

Decimal Number

Value	Count	Frequency (%)
1	21	42.0%
3	11	22.0%
2	10	20.0%
7	5	10.0%
5	2	4.0%
4	1	2.0%

Space Separator

Value	Count	Frequency (%)
	1848	99.4%
	11	0.6%

Control

Value	Count	Frequency (%)
	1	50.0%
	1	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	207	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	17	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	17	100.0%

Math Symbol

Value	Count	Frequency (%)
+	11	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	18822	87.6%
Common	2663	12.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1438	7.6%
i	1180	6.3%
n	1132	6.0%
t	1071	5.7%
r	937	5.0%
a	922	4.9%
o	864	4.6%
s	727	3.9%
S	661	3.5%
c	543	2.9%
Other values (44)	9347	49.7%

Common

Value	Count	Frequency (%)
	1848	69.4%
/	261	9.8%
-	207	7.8%
&	98	3.7%
.	96	3.6%
1	21	0.8%
,	20	0.8%
'	18	0.7%
(	17	0.6%
)	17	0.6%
Other values (12)	60	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21460	99.9%
None	25	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1848	8.6%
e	1438	6.7%
i	1180	5.5%
n	1132	5.3%
t	1071	5.0%
r	937	4.4%
a	922	4.3%
o	864	4.0%
s	727	3.4%
S	661	3.1%
Other values (61)	10680	49.8%

None

Value	Count	Frequency (%)
	11	44.0%
Â	11	44.0%
â	1	4.0%
	1	4.0%
	1	4.0%

job_description
Text

Distinct	900
Distinct (%)	90.0%
Missing	0
Missing (%)	0.0%
Memory size	3.3 MiB

Length

Max length	11107
Median length	3705
Mean length	3365.989
Min length	256

Characters and Unicode

Total characters	3365989
Distinct characters	108
Distinct categories	14 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	809 ?
Unique (%)	80.9%

Sample

1st row	The New York City Taxi and Limousine Commission (TLC) is the nationâs largest for-hire transportation agency, licensing and regulating the Cityâs yellow and green taxicabs, for-hire vehicles, rideshare companies, commuter vans, and luxury limousines. TLC develops and enforces rules to promote safety, transparency, and accessibility, and works to promote consumer and driver protection for a vital mode of transport in New York City. TLC-regulated drivers, vehicles, and businesses move over one million people a day. With the introduction of new apps and technologies, TLC is on the front lines of a changing mobility landscape. To learn more about the TLC, please visit: www.nyc.gov/taxi TLC is seeking a Program Coordinator for the Office of Financial Stability (OFS) to support the economic health of the Yellow Medallion Taxicab, a cultural icon of New York City that provides jobs for thousands of hardworking New Yorkers. OFS reports to the Assistant Commissioner of Program Planning and Management within the Finance Division at the TLC. The Program Coordinator will play a pivotal role in evaluating the impact of the Medallion Relief Program (MRP), which has provided $430 million in debt relief to small business taxi owners and drivers. In addition, the Program Coordinator will study key taxi indicators, support the annual financial disclosure project, and develop programming initiatives. OFS also works closely with the Owner/Driver Resource Center to ensure small business taxi operators have the resources they need to be successful. This is a position for someone who is interested in supporting small businesses and working at the intersection of data, policy, and programs. Responsibilities include: â¢ Monitor and evaluate the Medallion Relief Program. Study impact of grants on small business medallion owners using qualitative and quantitative data. â¢ Work collaboratively with team to gather and study taxi economic health metrics. Develop programming in partnership with the Owner/Driver Resource Center to support small business taxi owners. â¢ Manage medallion financial disclosure workstreams. Coordinate with internal and external partners to develop and implement new business practice standards. â¢ Support senior leadership in producing and publishing annual reports, slide decks, policy memos, workflows, and other materials as needed. Analyze and present findings to internal and external stakeholders. â¢ Represent the Agency in interactions with TLC customers, industry stakeholders, advocacy groups, City, State, and Federal Agencies and Offices, vendors, and members of the public. Develop productive relationships with Agency partners. â¢ Coordinate special projects as assigned.
2nd row	Established in 1805, the New York City Department of Health and Mental Hygiene (the NYC Health Department) is the oldest and largest health department in the country. Our mission is to protect and improve the health of all New Yorkers, in service of a vision of a city in which all New Yorkers can realize their full health potential, regardless of who they are, how old they are, where they are from, or where they live. As a world-renowned public health agency with a history of building transformative public health programming and infrastructure, innovating in science and scholarship to advance public health knowledge, and responding to urgent public health crises â from New York Cityâs yellow fever outbreak in 1822, to the COVID-19 pandemic â we are a hub for public health innovation, expertise, and programs, and services. We serve as the population health strategist, and policy, and planning authority for the City of New York, while also having a vast impact on national and international public policy, including programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and racial and social justice work, among others. Our Agencyâs five strategic priorities, building off a recently-completed strategic planning process emerging from the COVID-19 emergency, are: 1) To re-envision how the Health Department prepares for and responds to health emergencies, with a focus on building a âresponse-readyâ organization, with faster decision-making, transparent public communications, and stronger surveillance and bridges to healthcare systems 2) Address and prevent chronic and diet-related disease, including addressing rising rates of childhood obesity and the impact of diabetes, and transforming our food systems to improve nutrition and enhance access to healthy foods 3) Address the second pandemic of mental illness including: reducing overdose deaths, strengthening our youth mental health systems, and supporting people with serious mental illness 4) Reduce black maternal mortality and make New York a model city for womenâs health 5) Mobilize against and combat the health impacts of climate change Our 7,000-plus team members bring extraordinary diversity to the work of public health. True to our value of equity as a foundational element of all of our work, and a critical foundation to achieving population health impact in New York City, the NYC Health Department has been a leader in recognizing and dismantling racismâs impacts on the health of New Yorkers and beyond. In 2021, the NYC Board of Health declared racism as a public health crisis. With commitment to advance anti-racist public health practices that dismantle systems that perpetuate inequitable power, opportunity and access, the NYC Health Department continues to work in and with communities and community organizations to increase their access to health services and decrease avoidable health outcomes. PROGRAM AND JOB DESCRIPTION: The New York City Department of Health and Mental Hygiene (NYC DOHMH)âs Bureau of Hepatitis, HIV, and Sexually Transmitted Infections (BHHS) oversees the Cityâs response to viral hepatitis, HIV, and sexually transmitted infections (STIs). Its mission is to improve the lives of New Yorkers by ending transmission, illness, stigma, and inequities related to viral hepatitis, HIV, and STIs. BHHSâs work includes testing initiatives; prevention, care, and treatment programming; epidemiology and surveillance; training and technical assistance; community engagement; social marketing; policy advocacy; and racial equity and social justice initiatives. The Clinical Operations and Technical Assistance (COTA) program works to measure, report on, and improve the quality of prevention and care services delivered to people with HIV (PWH) as well as those vulnerable to contracting HIV. The COTA program engages in a variety of activities including clinical and non-clinical provider trainings, assessment of clinics via site visits and survey assessments, provision of targeted technical assistance (TA), production of resources and presentations on findings and implications, and engagement with internal and external partners. As part of the national plan to End the HIV epidemic (EHE), COTAâs HIV Clinical TA team develops and delivers clinical technical assistance (TA) to NYC-based HIV clinics to strengthen the capacity of the HIV workforce and improve clinical outcomes among PWH in NYC.HIV clinical TA services will involve conducting virtual and in-person visits with clinicians and social service providers across NYC to provide tailored TA on topics such as immediate initiation of antiretroviral therapy (iART), long-acting ART, and any other HIV biomedical interventions. The TA materials will consist of resources that promote provider learning, clinical implementation and scale up, and client-centered shared decision-making tools. In addition, the HIV Clinical TA team will incorporate Racial Equity and Social Justice principles to ensure our services meet the needs of priority populations (i.e., men who have sex with men of color, women of color, transgender women, youth [ages 13-24], and older PWH). COTA seeks one HIV Clinical Technical Assistance (TA) Specialist to establish strong relationships with clinical and non-clinical NYC based HIV providers and key stakeholders to deliver data-informed technical assistance.Â DUTIES WILL INCLUDE BUT NOT BE LIMITED TO: Support the development and overall design of the teams' current long-acting ART TA strategy, utilizing a data-informed, and racial equity and social justice approach to increase awareness and uptake of long-acting ART among HIV clinical providers and PWH. Develop, pilot and produce technical resource materials for HIV clinics and PWH. Deliver on-going TA and capacity building assistance to visited agencies, which may entail developing curricula, conducting trainings, developing and/or delivering webinars, facilitating learning communities, making linkages between members of different organizations (peer-to-peer), and conducting routine site visits. Collaborate with COTA's Planning, Monitoring, and Evaluation (PME) team to develop evaluation plans for HIV Clinical TA projects and activities. Work with Salesforce leads to facilitate the reporting of HIV Clinical TA activities and perform data quality checks on all data entered into Salesforce. Develop and apply systematic reviews of recently published literature and clinical guidelines to inform the development of TA resources and presentations. Partner with BHHS Programs to understand current BHHS activities to inform the development of TA activities. Contribute to annual and semi-annual reports to funders. Identify and develop opportunities for making contributions to the public health literature by submitting abstracts to national conferences and papers to peer review journals. Represent and present on current and future HIV bio-medical therapeutics as requested at both internal and external meetings. Perform ad-hoc duties as may be assigned by supervisor.
3rd row	Customized Assistance Services (CAS) helps Human Resources Administration (HRA) clients with health and/or mental health conditions reach their highest attainable level of functioning and self-sufficiency by providing comprehensive, integrated, individualized clinical and supportive services. CAS works with other components of HRA and with other governmental and non-governmental service provides to create new programs and to integrate and refine existing services so the people it serves can achieve their maximum functional capacity. Under the direction of the Director, the Administrative Assistant to the Director (AA to Director)/Associate Job Opportunity Specialist II (AJOS II) is responsible for supervising a team of AJOS staff, who provide various functions of eligibility determination, financial planning, and employment planning and monitoring and other related services for clients requesting and in receipt of Homebound services from HRA. The AA to the Director/AJOS II uses supervisory, program development, quantitative analysis, and other research skills in accomplishing all the goals of CAS Benefits Access Center and its components (Application, Financial Planning, Employment Planning, Undercare, et.) The Customized Assistance Services is recruiting for (1) Associate Job Opportunity Specialist II (AJOS II) who will: â¢ Monitor the workflow of AJOS workers who handle the entire application process for all new applicants and ongoing cases, including face-to-face recertifications; Family Assistance cases which have been closed for over sixty days; all Safety Net case reopens which have been closed regardless of date; and one-shot deals. â¢ Review specific cases and authorize benefits as required. â¢ Review the accuracy and timeliness of reports, including all relevant worklists. â¢ Act as liaison to the Rental Assistance Unit. â¢ Conduct daily sweeps to ensure timely and proper service. â¢ Manage a team of AJOS workers who interview applicants and assess eligibility for immediate needs grants (food and non-food), employability and eligibility for public assistance, food stamps and Medicaid; works with applicants to remove barriers to employment and makes referrals to other services as needed. â¢ Manage a team of AJOS workers who provide comprehensive service delivery to participants after the establishment of the participantâs case; Family Assistance cases that have been closed less than sixty days; or Safety Net cases that have been closed in error. â¢ Supervise a team of AJOS workers who manage all aspects of the cash assistance case, including establishing on- going eligibility, assessing participants, developing appropriate Employment Assessment and Employment Plans and executing specific strategies designed to help participants achieve self- sufficiency. â¢ Ensure adequate planning, scheduling and monitoring of case management activities and conduct regular reviews of outcome reports, worklists, audits and assess client feedback to ensure the team is maintaining adequate levels of performance necessary to move participants toward self-sufficiency. â¢ Assist with case consultation on individual cases and guidance on difficult cases in the case planning process as necessary to ensure the appropriate approach is developed to suit the participantâs needs and achieve the best plan for the individual to progress to self-sufficiency. â¢ Oversee teams of clerical and JOS workers who provide quick service for those clients who walk- in or telephone the Center. Additionally, the team will take appropriate action on reported changes, provide information and documentation as requested by the participants and maintain contact with other teams to ensure awareness of all activity that will affect the case management plan. â¢ Oversee staff that interview and determine housing needs of tenants at risk for homelessness or already homeless reporting to Benefits Access Centers. Develop ant-eviction/housing plan of intervention for referred participants. â¢ Monitor conference activities and prepare regular reports on unit activities. â¢ Perform final review of packets prior to fair hearing and determines whether a resolution will be required prior to the hearing. Using Strategies and techniques aimed at securing success in the hearing room, ardently represents the Agency. â¢ Prepare reports on key performance outcomes and ensure that necessary corrective actions are implemented in a timely manner. â¢ May conduct field visits.
4th row	The NYC Financial Information Services Agency-Office of Payroll Administration (FISA-OPA) is recruiting two Clerical Associates Level 2 or comparable title for Level 1 Help Desk Representatives for the Citywide User Support Division. Under general direction, the Help Desk Level 1 Representatives will serve as the âfront-lineâ of the FISA-OPA agencyâs Help Desk operation, providing caller assistance and problem management services to City agencies regarding City systems under both FISA-OPA. These systems include CityTime, the Financial Management System (FMS), the Payee Information Portal (PIP), the Payroll Management System (PMS), City Human Resource Management System (CHRMS) Remedy, Finesse â IVR and others. The Help Desk Level 1 Representatives will: â¢ Respond to telephone (Finesse) and email inquiries and determine the information required with professionalism and tact; â¢ Answer routine and frequently asked questions regarding user and system issues; â¢ Escalate moderate and complex user and system issues when required; â¢ Apprise users of the status and progress of pending requests; â¢ Provide efficient and effective problem resolution for callers; â¢ Initiate system password resets for authorized users; â¢ Record and track information from initial call to resolution using the Remedy IT Service Management System; â¢ Assist in collecting data to be used in researching user issues that may indicate larger system problems; â¢ Prepare statistical reports for management review; â¢ Provide system documentation and forms as required; â¢ Run simple system procedures; â¢ Participate in unit/staff meetings by attending /facilitating agenda / encouraging relevant discussion, in order to keep staff informed of agency/ unit goals and changes in programs/ policies/ procedures and; â¢ Perform special projects as assigned.
5th row	The NYC Department of Environmental Protection (DEP) enriches the environment and protects public health for all New Yorkers by providing 1.1 billion gallons of high quality drinking water, managing wastewater and stormwater, and reducing air, noise, and hazardous materials pollution. DEP is the largest combined municipal water and wastewater utility in the country, with nearly 6,000 employees. DEP's water supply system is comprised of 19 reservoirs and 3 controlled lakes throughout the systemâs 2,000 square mile watershed that extends 125 miles north and west of the City. The Bureau of Wastewater Treatment (BWT) is responsible for the operation and maintenance of all facilities related to the treatment of sewage within the five boroughs of the City. This includes 14 wastewater treatment plants, sludge dewatering facilities, collections facilities (pumping stations, combined sewer overflow retention facilities, regulators, tide gates, etc.), wastewater laboratories and harbor vessels. The Chief Marine Engineer (Diesel) is responsible for supervising and directing the operation and maintenance of the Bureau's marine vessels. Duties include supervising and directing technical staff in the Marine Section; maintaining engine room logs and records; observing all federal and departmental regulations pertaining to the operation of mechanical and/or engine equipment and the marine vessels; supervising and directing the care, storage and use of fuel onboard the ship and carrying out responsibilities associated with the Marine Operations and Maintenance Section's Safety Program.

Value	Count	Frequency (%)
and	32226	6.7%
the	22229	4.6%
of	15928	3.3%
to	14997	3.1%
in	7185	1.5%
for	6627	1.4%
health	6149	1.3%
a	6024	1.3%
with	5736	1.2%
â¢	4853	1.0%
Other values (12238)	358357	74.6%

Most occurring characters

Value	Count	Frequency (%)
	496981	14.8%
e	309209	9.2%
t	227396	6.8%
i	225818	6.7%
n	214734	6.4%
a	212462	6.3%
o	189812	5.6%
r	176784	5.3%
s	174112	5.2%
l	108734	3.2%
Other values (98)	1029947	30.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2601750	77.3%
Space Separator	497067	14.8%
Uppercase Letter	152049	4.5%
Other Punctuation	62256	1.8%
Control	17022	0.5%
Decimal Number	15303	0.5%
Dash Punctuation	6449	0.2%
Currency Symbol	5260	0.2%
Close Punctuation	4856	0.1%
Open Punctuation	3870	0.1%
Other values (4)	107	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	14989	9.9%
A	11958	7.9%
S	11005	7.2%
T	10966	7.2%
D	10482	6.9%
P	9862	6.5%
E	9845	6.5%
N	9268	6.1%
I	8663	5.7%
O	8198	5.4%
Other values (18)	46813	30.8%

Lowercase Letter

Value	Count	Frequency (%)
e	309209	11.9%
t	227396	8.7%
i	225818	8.7%
n	214734	8.3%
a	212462	8.2%
o	189812	7.3%
r	176784	6.8%
s	174112	6.7%
l	108734	4.2%
c	103120	4.0%
Other values (17)	659569	25.4%

Other Punctuation

Value	Count	Frequency (%)
,	31459	50.5%
.	19464	31.3%
:	2946	4.7%
/	2886	4.6%
;	2583	4.1%
'	964	1.5%
*	784	1.3%
&	612	1.0%
#	317	0.5%
¿	78	0.1%
Other values (6)	163	0.3%

Decimal Number

Value	Count	Frequency (%)
0	3755	24.5%
1	3146	20.6%
2	2146	14.0%
5	1544	10.1%
3	1069	7.0%
9	886	5.8%
8	786	5.1%
4	756	4.9%
6	671	4.4%
7	544	3.6%

Control

Value	Count	Frequency (%)
	9036	53.1%
	3916	23.0%
	2954	17.4%
	361	2.1%
	352	2.1%
	288	1.7%
	102	0.6%
	11	0.1%
	2	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	4844	99.8%
]	8	0.2%
}	4	0.1%

Open Punctuation

Value	Count	Frequency (%)
(	3858	99.7%
[	8	0.2%
{	4	0.1%

Math Symbol

Value	Count	Frequency (%)
+	50	80.6%
¬	11	17.7%
>	1	1.6%

Space Separator

Value	Count	Frequency (%)
	496981	> 99.9%
	86	< 0.1%

Currency Symbol

Value	Count	Frequency (%)
¢	4999	95.0%
$	261	5.0%

Other Symbol

Value	Count	Frequency (%)
°	2	66.7%
©	1	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	6449	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	41	100.0%

Format

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2753799	81.8%
Common	612190	18.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	309209	11.2%
t	227396	8.3%
i	225818	8.2%
n	214734	7.8%
a	212462	7.7%
o	189812	6.9%
r	176784	6.4%
s	174112	6.3%
l	108734	3.9%
c	103120	3.7%
Other values (45)	811618	29.5%

Common

Value	Count	Frequency (%)
	496981	81.2%
,	31459	5.1%
.	19464	3.2%
	9036	1.5%
-	6449	1.1%
¢	4999	0.8%
)	4844	0.8%
	3916	0.6%
(	3858	0.6%
0	3755	0.6%
Other values (43)	27429	4.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3338246	99.2%
None	27743	0.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	496981	14.9%
e	309209	9.3%
t	227396	6.8%
i	225818	6.8%
n	214734	6.4%
a	212462	6.4%
o	189812	5.7%
r	176784	5.3%
s	174112	5.2%
l	108734	3.3%
Other values (78)	1002204	30.0%

None

Value	Count	Frequency (%)
â	9047	32.6%
	9036	32.6%
¢	4999	18.0%
	2954	10.6%
	361	1.3%
	352	1.3%
Â	289	1.0%
	288	1.0%
	102	0.4%
	86	0.3%
Other values (10)	229	0.8%

minimum_qual_requirements
Text

Distinct	251
Distinct (%)	25.2%
Missing	4
Missing (%)	0.4%
Memory size	1.1 MiB

Length

Max length	4811
Median length	2139
Mean length	1090.344378
Min length	51

Characters and Unicode

Total characters	1085983
Distinct characters	87
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	118 ?
Unique (%)	11.8%

Sample

1st row	1. A baccalaureate degree from an accredited college and two years of experience in community work or community centered activities in an area related to the duties described above; or 2. High school graduation or equivalent and six years of experience in community work or community centered activities in an area related to the duties as described above; or 3. Education and/or experience which is equivalent to 1 or 2 above. However, all candidates must have at least one year of experience as described in 1 above.
2nd row	1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health. To be appointed to Assignment Level II and above, candidates must have: 1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or 2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or 3. Education and/or experience which is equivalent to 1 or 2 above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in 2 above. Two years as a City Research Scientist Level I can be substituted for the experience required in 1 and 2 above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year.
3rd row	1. A four-year high school diploma or its educational equivalent, and three years of full-time satisfactory experience working directly in social/human services or a related setting, providing either a. client services; or b. employment planning or counseling services which involve job development, skills assessment, and employment placement or other economic opportunity programming; or 2. A baccalaureate degree from an accredited college plus eighteen months of full-time satisfactory experience working as a Job Opportunity Specialist/Benefits Opportunity Specialist; or 3. A baccalaureate degree from an accredited college; plus, eighteen months of full-time satisfactory experience as described in one (1) above; or 4. College credit from an accredited college may be substituted for this experience on the basis of 60 semester credits for 9 months of the work experience described above. However, all candidates must have 18 months of full-time satisfactory experience working as a Job Opportunity Specialist/Benefits Opportunity Specialist or performing social/human services work as described in one (1) above.
4th row	Qualification Requirements A four-year high school diploma or its educational equivalent approved by a State's department of education or a recognized accrediting organization and one year of satisfactory clerical experience. Skills Requirement Keyboard familiarity with the ability to type at a minimum of 100 key strokes (20 words) per minute.
5th row	Qualification Requirements For appointment in the Department of Public Works, a valid license for Chief Engineer of Motor vessels, not less than 3,000 H.P., issued by the United States Coast Guard Inspection Service. 1. Five (5) years of full-time, satisfactory paid experience acquired in the last 15 years as a Marine Engineer (Diesel).

Value	Count	Frequency (%)
or	7939	5.0%
of	7195	4.5%
in	6007	3.8%
a	5447	3.4%
experience	4423	2.8%
the	4180	2.6%
and	3279	2.0%
an	2912	1.8%
to	2873	1.8%
above	2544	1.6%
Other values (1874)	113172	70.7%

Most occurring characters

Value	Count	Frequency (%)
	165627	15.3%
e	119035	11.0%
i	77666	7.2%
a	75443	6.9%
o	66195	6.1%
r	63702	5.9%
n	63328	5.8%
t	62806	5.8%
s	47012	4.3%
c	43753	4.0%
Other values (77)	301416	27.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	864339	79.6%
Space Separator	165627	15.3%
Other Punctuation	21602	2.0%
Uppercase Letter	18802	1.7%
Decimal Number	8363	0.8%
Control	2271	0.2%
Dash Punctuation	2182	0.2%
Close Punctuation	1372	0.1%
Open Punctuation	1327	0.1%
Currency Symbol	50	< 0.1%
Other values (2)	48	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	119035	13.8%
i	77666	9.0%
a	75443	8.7%
o	66195	7.7%
r	63702	7.4%
n	63328	7.3%
t	62806	7.3%
s	47012	5.4%
c	43753	5.1%
l	35016	4.1%
Other values (17)	210383	24.3%

Uppercase Letter

Value	Count	Frequency (%)
A	3800	20.2%
I	2215	11.8%
S	1642	8.7%
E	1536	8.2%
L	1304	6.9%
C	1033	5.5%
H	975	5.2%
T	951	5.1%
N	871	4.6%
R	792	4.2%
Other values (16)	3683	19.6%

Decimal Number

Value	Count	Frequency (%)
1	3137	37.5%
2	2077	24.8%
3	1111	13.3%
0	810	9.7%
6	389	4.7%
4	380	4.5%
8	219	2.6%
5	156	1.9%
9	63	0.8%
7	21	0.3%

Other Punctuation

Value	Count	Frequency (%)
,	10580	49.0%
.	6473	30.0%
;	2019	9.3%
/	1349	6.2%
:	639	3.0%
'	524	2.4%
?	16	0.1%
*	2	< 0.1%

Control

Value	Count	Frequency (%)
	1106	48.7%
	484	21.3%
	413	18.2%
	179	7.9%
	62	2.7%
	24	1.1%
	2	0.1%
	1	< 0.1%

Currency Symbol

Value	Count	Frequency (%)
$	46	92.0%
¢	4	8.0%

Space Separator

Value	Count	Frequency (%)
	165627	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2182	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1372	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1327	100.0%

Other Number

Value	Count	Frequency (%)
½	45	100.0%

Math Symbol

Value	Count	Frequency (%)
+	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	883141	81.3%
Common	202842	18.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	119035	13.5%
i	77666	8.8%
a	75443	8.5%
o	66195	7.5%
r	63702	7.2%
n	63328	7.2%
t	62806	7.1%
s	47012	5.3%
c	43753	5.0%
l	35016	4.0%
Other values (43)	229185	26.0%

Common

Value	Count	Frequency (%)
	165627	81.7%
,	10580	5.2%
.	6473	3.2%
1	3137	1.5%
-	2182	1.1%
2	2077	1.0%
;	2019	1.0%
)	1372	0.7%
/	1349	0.7%
(	1327	0.7%
Other values (24)	6699	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1082575	99.7%
None	3408	0.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	165627	15.3%
e	119035	11.0%
i	77666	7.2%
a	75443	7.0%
o	66195	6.1%
r	63702	5.9%
n	63328	5.8%
t	62806	5.8%
s	47012	4.3%
c	43753	4.0%
Other values (67)	298008	27.5%

None

Value	Count	Frequency (%)
â	1106	32.5%
	1106	32.5%
	484	14.2%
	413	12.1%
	179	5.3%
½	45	1.3%
Â	45	1.3%
	24	0.7%
¢	4	0.1%
	2	0.1%

preferred_skills
Text

MISSING

Distinct	688
Distinct (%)	85.4%
Missing	194
Missing (%)	19.4%
Memory size	550.3 KiB

Length

Max length	2977
Median length	859
Mean length	621.6066998
Min length	29

Characters and Unicode

Total characters	501015
Distinct characters	94
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	588 ?
Unique (%)	73.0%

Sample

1st row	â¢ Project management experience coordinating with multiple internal and external stakeholders. â¢ Experience using quantitative and qualitative data for program evaluation. â¢ Takes initiative and works collaboratively across teams. â¢ Flexible and creative problem-solving skills. â¢ Strong communicator with excellent verbal, written, and presentation skills.
2nd row	Excellent communication skills, including written, oral, and interpersonal. Ability to assess HIV clinical providers' needs, communicate clinical information, and deliver engaging presentations. Outstanding organizational, time and project management skills. Knowledgeable about HIV/AIDS prevention and treatment. A minimum of 3 years of experience in public health project management and implementation. A minimum of 1 year of experience working with clinical and non-clinical providers in a clinical, research, or other health care setting, or equivalent clinical training. Ability to collaborate with subject matter experts and managers in training and TA resource development, delivery and modification. Experience with abstract and manuscript development. Solid working knowledge of MS Office software. Keen attention to detail and ability to handle multiple and diverse assignments efficiently and effectively. Ability to work effectively with a diverse staff of trainer, planners, capacity-building experts, clinicians, program managers, and service providers within the NYC DOHMH and at external agencies, including HRSA. Exceptional relationship-building and influencing skills a plus.
3rd row	â¢ Monitor conference activities and prepare regular reports on unit activities. â¢ Ability to multitask, work independently as well as in a team and consistently maintain a professional demeanor. â¢ Proficient knowledge of WMS, HRA One Viewer, Microsoft Outlook, Excel, Word and Access. â¢ Strong research and problem-solving skills. â¢ Good time management skills.
4th row	â¢ Basic knowledge of PMS, CityTime, FMS, PIP,CHRMS or Remedy â¢ Excellent work ethic and attention to detail â¢ Excellent verbal and written communication skills â¢ Excellent telephone skills with a professional demeanor â¢ Ability to work independently or as part of a team â¢ Ability to work well and efficient in a fast-paced environment â¢ Ability to maintain confidentiality â¢ Only permanent employees in the Clerical Associate title (or comparable title) and those who are reachable on the civil service list are eligible to apply
5th row	A valid license for Chief Engineer of Motor vessels, not less than 6,000 H.P., issued by the United States Coast Guard Inspection Service.

Value	Count	Frequency (%)
and	4901	7.2%
â¢	2631	3.9%
to	2000	2.9%
of	1763	2.6%
in	1524	2.2%
experience	1355	2.0%
with	1315	1.9%
skills	1306	1.9%
a	1146	1.7%
the	1070	1.6%
Other values (4418)	49244	72.1%

Most occurring characters

Value	Count	Frequency (%)
	68532	13.7%
e	45474	9.1%
i	37036	7.4%
n	34566	6.9%
t	32076	6.4%
a	31266	6.2%
o	26799	5.3%
r	25302	5.1%
s	23366	4.7%
l	20913	4.2%
Other values (84)	155685	31.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	391263	78.1%
Space Separator	68532	13.7%
Uppercase Letter	18318	3.7%
Other Punctuation	11186	2.2%
Control	5258	1.0%
Currency Symbol	2688	0.5%
Decimal Number	1473	0.3%
Dash Punctuation	1113	0.2%
Close Punctuation	559	0.1%
Open Punctuation	523	0.1%
Other values (2)	102	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	2356	12.9%
A	2045	11.2%
E	1990	10.9%
P	1564	8.5%
C	1496	8.2%
M	1151	6.3%
D	772	4.2%
O	736	4.0%
N	634	3.5%
I	610	3.3%
Other values (18)	4964	27.1%

Lowercase Letter

Value	Count	Frequency (%)
e	45474	11.6%
i	37036	9.5%
n	34566	8.8%
t	32076	8.2%
a	31266	8.0%
o	26799	6.8%
r	25302	6.5%
s	23366	6.0%
l	20913	5.3%
c	16482	4.2%
Other values (17)	97983	25.0%

Other Punctuation

Value	Count	Frequency (%)
,	5280	47.2%
.	4314	38.6%
;	674	6.0%
/	484	4.3%
:	176	1.6%
&	72	0.6%
'	68	0.6%
*	68	0.6%
¿	25	0.2%
·	15	0.1%
Other values (2)	10	0.1%

Decimal Number

Value	Count	Frequency (%)
1	275	18.7%
3	206	14.0%
5	201	13.6%
2	187	12.7%
0	172	11.7%
6	136	9.2%
4	116	7.9%
7	83	5.6%
8	55	3.7%
9	42	2.9%

Control

Value	Count	Frequency (%)
	2904	55.2%
	2135	40.6%
	180	3.4%
	19	0.4%
	10	0.2%
	9	0.2%
	1	< 0.1%

Math Symbol

Value	Count	Frequency (%)
+	52	83.9%
>	9	14.5%
¬	1	1.6%

Currency Symbol

Value	Count	Frequency (%)
¢	2686	99.9%
$	2	0.1%

Space Separator

Value	Count	Frequency (%)
	68532	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1113	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	559	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	523	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	40	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	409581	81.8%
Common	91434	18.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	45474	11.1%
i	37036	9.0%
n	34566	8.4%
t	32076	7.8%
a	31266	7.6%
o	26799	6.5%
r	25302	6.2%
s	23366	5.7%
l	20913	5.1%
c	16482	4.0%
Other values (45)	116301	28.4%

Common

Value	Count	Frequency (%)
	68532	75.0%
,	5280	5.8%
.	4314	4.7%
	2904	3.2%
¢	2686	2.9%
	2135	2.3%
-	1113	1.2%
;	674	0.7%
)	559	0.6%
(	523	0.6%
Other values (29)	2714	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	492219	98.2%
None	8796	1.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	68532	13.9%
e	45474	9.2%
i	37036	7.5%
n	34566	7.0%
t	32076	6.5%
a	31266	6.4%
o	26799	5.4%
r	25302	5.1%
s	23366	4.7%
l	20913	4.2%
Other values (71)	146889	29.8%

None

Value	Count	Frequency (%)
â	2904	33.0%
	2904	33.0%
¢	2686	30.5%
	180	2.0%
Â	41	0.5%
¿	25	0.3%
	19	0.2%
·	15	0.2%
	10	0.1%
	9	0.1%
Other values (3)	3	< 0.1%

additional_information
Text

MISSING

Distinct	375
Distinct (%)	51.9%
Missing	278
Missing (%)	27.8%
Memory size	584.6 KiB

Length

Max length	1910
Median length	1297
Mean length	751.0484765
Min length	4

Characters and Unicode

Total characters	542257
Distinct characters	96
Distinct categories	13 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	271 ?
Unique (%)	37.5%

Sample

1st row	IMPORTANT NOTES TO ALL CANDIDATES: Please note: If you are called for an interview you will be required to bring to your interview copies of original documentation, such as: â¢ A document that establishes identity for employment eligibility, such as: A Valid U.S. Passport, Permanent Resident Card/Green Card, or Driverâs license. â¢ Proof of Education according to the education requirements of the civil service title. â¢ Current Resume â¢ Proof of Address/NYC Residency dated within the last 60 days, such as: Recent Utility Bill (i.e. Telephone, Cable, Mobile Phone) Additional documentation may be required to evaluate your qualification as outlined in this postingâs âMinimum Qualification Requirementsâ section. Examples of additional documentation may be, but not limited to: college transcript, experience verification or professional trade licenses. If after your interview you are the selected candidate you will be contacted to schedule an on-boarding appointment. By the time of this appointment you will be asked to produce the originals of the above documents along with your original Social Security card. LOAN FORGIVENESS The federal government provides student loan forgiveness through its Public Service Loan Forgiveness Program (PSLF) to all qualifying public service employees. Working with the DOHMH qualifies you as a public service employee and you may be able to take advantage of this program while working full-time and meeting the programâs other requirements. Please visit the Public Service Loan Forgiveness Program site to view the eligibility requirements: https://studentaid.ed.gov/sa/repay-loans/forgiveness-cancellation/public-service FINAL APPOINTMENTS ARE SUBJECT TO OFFICE OF MANAGEMENT & BUDGET APPROVALâ
2nd row	**LOAN FORGIVENESS The federal government provides student loan forgiveness through its Public Service Loan Forgiveness Program (PSLF) to all qualifying public service employees. Working with the DSS/HRA/DHS qualifies you as a public service employee and you may be able to take advantage of this program while working full-time and meeting the programâs other requirements. Please visit the Public Service Loan Forgiveness Program site to view the eligibility requirements: https://studentaid.ed.gov/sa/repay-loans/forgiveness-cancellation/public-service In addition, the Human Resources Administration/Department of Social Services offers competitive salaries and the following benefits: Generous Pension Plans (The New York Employees' Retirement System); 401(k) and Roth 457 Retirement Savings Programs; U.S. Savings Bonds Flexible Spending Program; Health Benefits, Dental, Vision Coverage, Prescription Drug Program; Training and Professional Development; Opportunity for Scholarship; College Savings Program; Paid Holidays and Generous Annual Leave. The City of New York is an Equal Opportunity Employer
3rd row	#O-143 & O-154
4th row	Appointments are subject to OMB approval. For additional information about DEP, visit www.nyc.gov/dep. DEP is an equal opportunity employer with a strong commitment to the diversity of our organization and workforce. Your voluntary response to the NYCAPS on-line application section for referral information will assist us tremendously in our ability to track the success of our outreach and recruitment efforts. Please be sure to indicate your source of referral to this job. NOTE:This position is open to qualified persons with a disability who are eligible for the 55-a Program. Please indicate on your resume or cover letter that you would like to be considered under the 55-a Program. This position is also open to non 55-a Program candidates who meet the education and experience requirements as listed in the job posting notice.
5th row	The Human Resources Administration/Department of Social Services offers competitive salaries and the following benefits: Generous Pension Plans (The New York Employees' Retirement System); 401(k) and 457 Roth's Retirement Savings Programs; U.S. Savings Bonds Flexible Spending Program; Health Benefits, Dental, Vision Coverage, Prescription Drug Program; Training and Professional Development; Opportunity for Scholarship; College Savings Program; Paid Holidays and Generous Annual Leave;

Value	Count	Frequency (%)
the	3275	4.2%
to	3017	3.8%
of	2587	3.3%
and	2159	2.7%
for	1553	2.0%
be	1423	1.8%
a	1305	1.7%
you	1128	1.4%
program	883	1.1%
or	882	1.1%
Other values (1505)	60474	76.9%

Most occurring characters

Value	Count	Frequency (%)
	81275	15.0%
e	49670	9.2%
i	36069	6.7%
o	34339	6.3%
t	33564	6.2%
n	29743	5.5%
a	29688	5.5%
r	28229	5.2%
s	23418	4.3%
l	18096	3.3%
Other values (86)	178166	32.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	397924	73.4%
Space Separator	81275	15.0%
Uppercase Letter	41205	7.6%
Other Punctuation	13315	2.5%
Decimal Number	2850	0.5%
Control	2665	0.5%
Dash Punctuation	977	0.2%
Close Punctuation	684	0.1%
Open Punctuation	676	0.1%
Currency Symbol	674	0.1%
Other values (3)	12	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	49670	12.5%
i	36069	9.1%
o	34339	8.6%
t	33564	8.4%
n	29743	7.5%
a	29688	7.5%
r	28229	7.1%
s	23418	5.9%
l	18096	4.5%
d	13751	3.5%
Other values (17)	101357	25.5%

Uppercase Letter

Value	Count	Frequency (%)
P	4182	10.1%
A	3699	9.0%
S	3645	8.8%
E	3166	7.7%
T	2864	7.0%
N	2761	6.7%
C	2464	6.0%
R	2283	5.5%
O	2148	5.2%
D	1941	4.7%
Other values (17)	12052	29.2%

Other Punctuation

Value	Count	Frequency (%)
.	4806	36.1%
,	4008	30.1%
/	1315	9.9%
:	1132	8.5%
*	885	6.6%
;	723	5.4%
'	257	1.9%
&	135	1.0%
#	28	0.2%
!	12	0.1%
Other values (2)	14	0.1%

Decimal Number

Value	Count	Frequency (%)
5	720	25.3%
0	447	15.7%
4	377	13.2%
1	355	12.5%
2	278	9.8%
7	235	8.2%
6	179	6.3%
3	152	5.3%
9	60	2.1%
8	47	1.6%

Control

Value	Count	Frequency (%)
	1477	55.4%
	425	15.9%
	333	12.5%
	260	9.8%
	149	5.6%
	11	0.4%
	7	0.3%
	2	0.1%
	1	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	682	99.7%
]	2	0.3%

Open Punctuation

Value	Count	Frequency (%)
(	674	99.7%
[	2	0.3%

Currency Symbol

Value	Count	Frequency (%)
¢	623	92.4%
$	51	7.6%

Space Separator

Value	Count	Frequency (%)
	81275	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	977	100.0%

Math Symbol

Value	Count	Frequency (%)
+	10	100.0%

Other Number

Value	Count	Frequency (%)
½	1	100.0%

Other Symbol

Value	Count	Frequency (%)
©	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	439129	81.0%
Common	103128	19.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	49670	11.3%
i	36069	8.2%
o	34339	7.8%
t	33564	7.6%
n	29743	6.8%
a	29688	6.8%
r	28229	6.4%
s	23418	5.3%
l	18096	4.1%
d	13751	3.1%
Other values (44)	142562	32.5%

Common

Value	Count	Frequency (%)
	81275	78.8%
.	4806	4.7%
,	4008	3.9%
	1477	1.4%
/	1315	1.3%
:	1132	1.1%
-	977	0.9%
*	885	0.9%
;	723	0.7%
5	720	0.7%
Other values (32)	5810	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	537816	99.2%
None	4441	0.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	81275	15.1%
e	49670	9.2%
i	36069	6.7%
o	34339	6.4%
t	33564	6.2%
n	29743	5.5%
a	29688	5.5%
r	28229	5.2%
s	23418	4.4%
l	18096	3.4%
Other values (72)	173725	32.3%

None

Value	Count	Frequency (%)
	1477	33.3%
â	1477	33.3%
¢	623	14.0%
	425	9.6%
	260	5.9%
	149	3.4%
	11	0.2%
	7	0.2%
Â	4	0.1%
¿	3	0.1%
Other values (4)	5	0.1%

to_apply
Text

Distinct	577
Distinct (%)	57.9%
Missing	3
Missing (%)	0.3%
Memory size	466.8 KiB

Length

Max length	2682
Median length	1071
Mean length	418.772317
Min length	5

Characters and Unicode

Total characters	417516
Distinct characters	96
Distinct categories	13 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	479 ?
Unique (%)	48.0%

Sample

1st row	For City employees, please go to Employee Self Service (ESS), click on Recruiting Activities > Careers, and search for Job ID# 592901. For all other applicants, please go to www.nyc.gov/jobs and search for Job ID# 592901 or click Apply Now below. SUBMISSION OF A RESUME IS NOT A GUARANTEE THAT YOU WILL RECEIVE AN INTERVIEW. APPOINTMENTS ARE SUBJECT TO OVERSIGHT APPROVAL.
2nd row	Apply online with a cover letter to https://a127-jobs.nyc.gov/. In the Job ID search bar, enter: job ID number # 595589. We appreciate the interest and thank all applicants who apply, but only those candidates under consideration will be contacted. The NYC Health Department is committed to recruiting and retaining a diverse and culturally responsive workforce. We strongly encourage people of color, people with disabilities, veterans, women, and lesbian, gay, bisexual, and transgender and gender non-conforming persons to apply. All applicants will be considered without regard to actual or perceived race, color, national origin, religion, sexual orientation, marital or parental status, disability, sex, gender identity or expression, age, prior record of arrest; or any other basis prohibited by law. NOTE: This position is open to qualified persons with a disability who are eligible for the 55-a Program. Please indicate in your resume that you would like to be considered for the position under the 55-a Program.
3rd row	*****THE PROPOSED SALARY RANGE FOR THIS POSITION IS $ 66,430 - $76,394 YEARLY******** APPLICANTS MUST BE PERMANAENT IN THE ASSOCIATE JOB OPPORTUNITY SPECIALIST CIVIL SERVICE TITLE. Click Apply Now Button
4th row	Current NYC employees may apply to Job ID: 589409 via Employee Self Service (ESS): www.nyc.gov/ess. External applicants may visit the NYC Jobs website: www.nyc.gov/jobs and apply to Job ID: 589409. While all complete applications will be given consideration, only candidates selected for an interview will be contacted.
5th row	Click Apply Now button

Value	Count	Frequency (%)
to	2671	4.2%
and	2107	3.3%
the	2006	3.2%
for	1776	2.8%
be	1276	2.0%
apply	1149	1.8%
or	1082	1.7%
job	1066	1.7%
id	954	1.5%
a	938	1.5%
Other values (1308)	48318	76.3%

Most occurring characters

Value	Count	Frequency (%)
	64769	15.5%
e	33716	8.1%
o	25527	6.1%
t	22913	5.5%
i	21651	5.2%
a	21496	5.1%
r	20776	5.0%
n	19437	4.7%
l	15967	3.8%
s	15550	3.7%
Other values (86)	155714	37.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	280481	67.2%
Space Separator	64769	15.5%
Uppercase Letter	49284	11.8%
Other Punctuation	14546	3.5%
Decimal Number	5724	1.4%
Dash Punctuation	1246	0.3%
Control	651	0.2%
Close Punctuation	343	0.1%
Open Punctuation	335	0.1%
Currency Symbol	84	< 0.1%
Other values (3)	53	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	33716	12.0%
o	25527	9.1%
t	22913	8.2%
i	21651	7.7%
a	21496	7.7%
r	20776	7.4%
n	19437	6.9%
l	15967	5.7%
s	15550	5.5%
c	11275	4.0%
Other values (17)	72173	25.7%

Uppercase Letter

Value	Count	Frequency (%)
E	5180	10.5%
I	4412	9.0%
A	4014	8.1%
N	3974	8.1%
T	3963	8.0%
S	3597	7.3%
O	3217	6.5%
C	3047	6.2%
D	2475	5.0%
P	2365	4.8%
Other values (16)	13040	26.5%

Other Punctuation

Value	Count	Frequency (%)
.	5121	35.2%
,	5115	35.2%
/	1760	12.1%
:	1249	8.6%
#	707	4.9%
*	226	1.6%
;	213	1.5%
'	89	0.6%
@	29	0.2%
&	28	0.2%
Other values (4)	9	0.1%

Decimal Number

Value	Count	Frequency (%)
5	1460	25.5%
1	683	11.9%
2	603	10.5%
7	557	9.7%
6	521	9.1%
0	497	8.7%
9	462	8.1%
8	386	6.7%
3	319	5.6%
4	236	4.1%

Control

Value	Count	Frequency (%)
	318	48.8%
	99	15.2%
	98	15.1%
	73	11.2%
	50	7.7%
	6	0.9%
	4	0.6%
	3	0.5%

Math Symbol

Value	Count	Frequency (%)
>	29	80.6%
=	4	11.1%
+	3	8.3%

Currency Symbol

Value	Count	Frequency (%)
$	46	54.8%
¢	38	45.2%

Space Separator

Value	Count	Frequency (%)
	64769	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1246	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	343	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	335	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	16	100.0%

Other Number

Value	Count	Frequency (%)
½	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	329765	79.0%
Common	87751	21.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	33716	10.2%
o	25527	7.7%
t	22913	6.9%
i	21651	6.6%
a	21496	6.5%
r	20776	6.3%
n	19437	5.9%
l	15967	4.8%
s	15550	4.7%
c	11275	3.4%
Other values (43)	121457	36.8%

Common

Value	Count	Frequency (%)
	64769	73.8%
.	5121	5.8%
,	5115	5.8%
/	1760	2.0%
5	1460	1.7%
:	1249	1.4%
-	1246	1.4%
#	707	0.8%
1	683	0.8%
2	603	0.7%
Other values (33)	5038	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	416548	99.8%
None	968	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	64769	15.5%
e	33716	8.1%
o	25527	6.1%
t	22913	5.5%
i	21651	5.2%
a	21496	5.2%
r	20776	5.0%
n	19437	4.7%
l	15967	3.8%
s	15550	3.7%
Other values (74)	154746	37.1%

None

Value	Count	Frequency (%)
	318	32.9%
â	318	32.9%
	99	10.2%
	98	10.1%
	73	7.5%
¢	38	3.9%
Â	7	0.7%
	6	0.6%
¿	5	0.5%
	4	0.4%
Other values (2)	2	0.2%

hours_shift
Text

MISSING

Distinct	153
Distinct (%)	38.8%
Missing	606
Missing (%)	60.6%
Memory size	52.1 KiB

Length

Max length	221
Median length	129
Mean length	25.65228426
Min length	3

Characters and Unicode

Total characters	10107
Distinct characters	77
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	100 ?
Unique (%)	25.4%

Sample

1st row	9:00am-17:00pm (Flexible)
2nd row	35 Hours/Day Shift
3rd row	35 hours per week / day
4th row	M-F, 9-5
5th row	35 hours weekly/Day

Value	Count	Frequency (%)
hours	239	12.6%
35	218	11.5%
per	101	5.3%
	68	3.6%
â	62	3.3%
week	57	3.0%
week/day	48	2.5%
to	44	2.3%
monday	38	2.0%
friday	38	2.0%
Other values (235)	988	52.0%

Most occurring characters

Value	Count	Frequency (%)
	1556	15.4%
e	649	6.4%
r	561	5.6%
s	511	5.1%
o	495	4.9%
a	404	4.0%
5	358	3.5%
u	346	3.4%
i	311	3.1%
0	298	2.9%
Other values (67)	4618	45.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5658	56.0%
Space Separator	1556	15.4%
Decimal Number	1218	12.1%
Uppercase Letter	845	8.4%
Other Punctuation	391	3.9%
Dash Punctuation	164	1.6%
Control	138	1.4%
Open Punctuation	64	0.6%
Close Punctuation	63	0.6%
Currency Symbol	4	< 0.1%
Other values (2)	6	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	649	11.5%
r	561	9.9%
s	511	9.0%
o	495	8.7%
a	404	7.1%
u	346	6.1%
i	311	5.5%
d	258	4.6%
h	252	4.5%
y	239	4.2%
Other values (15)	1632	28.8%

Uppercase Letter

Value	Count	Frequency (%)
H	147	17.4%
M	134	15.9%
F	89	10.5%
T	63	7.5%
S	61	7.2%
D	40	4.7%
A	39	4.6%
P	39	4.6%
N	39	4.6%
W	33	3.9%
Other values (15)	161	19.1%

Decimal Number

Value	Count	Frequency (%)
5	358	29.4%
0	298	24.5%
3	274	22.5%
9	111	9.1%
1	58	4.8%
4	40	3.3%
2	31	2.5%
7	18	1.5%
8	18	1.5%
6	12	1.0%

Other Punctuation

Value	Count	Frequency (%)
:	146	37.3%
/	129	33.0%
.	65	16.6%
,	41	10.5%
;	9	2.3%
*	1	0.3%

Control

Value	Count	Frequency (%)
	66	47.8%
	64	46.4%
	6	4.3%
	2	1.4%

Space Separator

Value	Count	Frequency (%)
	1556	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	164	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	64	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	63	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	4	100.0%

Math Symbol

Value	Count	Frequency (%)
+	3	100.0%

Other Number

Value	Count	Frequency (%)
½	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6503	64.3%
Common	3604	35.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	649	10.0%
r	561	8.6%
s	511	7.9%
o	495	7.6%
a	404	6.2%
u	346	5.3%
i	311	4.8%
d	258	4.0%
h	252	3.9%
y	239	3.7%
Other values (40)	2477	38.1%

Common

Value	Count	Frequency (%)
	1556	43.2%
5	358	9.9%
0	298	8.3%
3	274	7.6%
-	164	4.6%
:	146	4.1%
/	129	3.6%
9	111	3.1%
	66	1.8%
.	65	1.8%
Other values (17)	437	12.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9903	98.0%
None	204	2.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1556	15.7%
e	649	6.6%
r	561	5.7%
s	511	5.2%
o	495	5.0%
a	404	4.1%
5	358	3.6%
u	346	3.5%
i	311	3.1%
0	298	3.0%
Other values (61)	4414	44.6%

None

Value	Count	Frequency (%)
â	66	32.4%
	66	32.4%
	64	31.4%
Â	3	1.5%
½	3	1.5%
	2	1.0%

work_location_1
Text

MISSING

Distinct	149
Distinct (%)	35.9%
Missing	585
Missing (%)	58.5%
Memory size	54.8 KiB

Length

Max length	336
Median length	122
Mean length	32.78554217
Min length	3

Characters and Unicode

Total characters	13606
Distinct characters	73
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	90 ?
Unique (%)	21.7%

Sample

1st row	New York, NY
2nd row	109 E 16Th St., N.Y.
3rd row	5 Manhattan West
4th row	Wards Island, N.Y.
5th row	1 Metro Tech, Brooklyn Ny

Value	Count	Frequency (%)
ny	303	12.1%
thomson	77	3.1%
30-30	75	3.0%
ave	74	2.9%
st	73	2.9%
street	62	2.5%
city	52	2.1%
york	49	2.0%
new	49	2.0%
water	49	2.0%
Other values (326)	1649	65.6%

Most occurring characters

Value	Count	Frequency (%)
	2110	15.5%
e	795	5.8%
o	708	5.2%
n	645	4.7%
t	616	4.5%
r	592	4.4%
a	582	4.3%
1	435	3.2%
0	415	3.1%
N	395	2.9%
Other values (63)	6313	46.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6679	49.1%
Uppercase Letter	2198	16.2%
Space Separator	2110	15.5%
Decimal Number	1927	14.2%
Other Punctuation	491	3.6%
Dash Punctuation	170	1.2%
Close Punctuation	11	0.1%
Open Punctuation	10	0.1%
Control	10	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	795	11.9%
o	708	10.6%
n	645	9.7%
t	616	9.2%
r	592	8.9%
a	582	8.7%
s	318	4.8%
l	304	4.6%
i	287	4.3%
y	270	4.0%
Other values (17)	1562	23.4%

Uppercase Letter

Value	Count	Frequency (%)
N	395	18.0%
Y	281	12.8%
C	204	9.3%
S	156	7.1%
A	136	6.2%
T	130	5.9%
L	114	5.2%
B	107	4.9%
I	105	4.8%
W	104	4.7%
Other values (14)	466	21.2%

Decimal Number

Value	Count	Frequency (%)
1	435	22.6%
0	415	21.5%
5	289	15.0%
3	273	14.2%
2	137	7.1%
6	103	5.3%
9	98	5.1%
7	64	3.3%
4	62	3.2%
8	51	2.6%

Other Punctuation

Value	Count	Frequency (%)
,	368	74.9%
.	115	23.4%
/	4	0.8%
:	2	0.4%
#	1	0.2%
&	1	0.2%

Control

Value	Count	Frequency (%)
	5	50.0%
	5	50.0%

Space Separator

Value	Count	Frequency (%)
	2110	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	170	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	11	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8877	65.2%
Common	4729	34.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	795	9.0%
o	708	8.0%
n	645	7.3%
t	616	6.9%
r	592	6.7%
a	582	6.6%
N	395	4.4%
s	318	3.6%
l	304	3.4%
i	287	3.2%
Other values (41)	3635	40.9%

Common

Value	Count	Frequency (%)
	2110	44.6%
1	435	9.2%
0	415	8.8%
,	368	7.8%
5	289	6.1%
3	273	5.8%
-	170	3.6%
2	137	2.9%
.	115	2.4%
6	103	2.2%
Other values (12)	314	6.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13591	99.9%
None	15	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2110	15.5%
e	795	5.8%
o	708	5.2%
n	645	4.7%
t	616	4.5%
r	592	4.4%
a	582	4.3%
1	435	3.2%
0	415	3.1%
N	395	2.9%
Other values (60)	6298	46.3%

None

Value	Count	Frequency (%)
â	5	33.3%
	5	33.3%
	5	33.3%

recruitment_contact
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1000
Missing (%)	100.0%
Memory size	7.9 KiB

residency_requirement
Text

Distinct	36
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Memory size	306.6 KiB

Length

Max length	764
Median length	400
Mean length	256.876
Min length	3

Characters and Unicode

Total characters	256876
Distinct characters	59
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18 ?
Unique (%)	1.8%

Sample

1st row	New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.
2nd row	New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.
3rd row	New York City Residency is not required for this position
4th row	New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.
5th row	New York City Residency is not required for this position.

Value	Count	Frequency (%)
the	2331	5.7%
city	2088	5.1%
to	1745	4.3%
residency	1578	3.9%
for	1491	3.7%
of	1183	2.9%
in	1168	2.9%
is	934	2.3%
required	928	2.3%
york	908	2.2%
Other values (164)	26364	64.7%

Most occurring characters

Value	Count	Frequency (%)
	39725	15.5%
e	30722	12.0%
i	18938	7.4%
t	17868	7.0%
r	14463	5.6%
o	14047	5.5%
s	13319	5.2%
n	12972	5.0%
a	10673	4.2%
y	8346	3.2%
Other values (49)	75803	29.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	198541	77.3%
Space Separator	39725	15.5%
Uppercase Letter	10800	4.2%
Other Punctuation	6047	2.4%
Decimal Number	1755	0.7%
Open Punctuation	4	< 0.1%
Close Punctuation	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	30722	15.5%
i	18938	9.5%
t	17868	9.0%
r	14463	7.3%
o	14047	7.1%
s	13319	6.7%
n	12972	6.5%
a	10673	5.4%
y	8346	4.2%
l	6473	3.3%
Other values (14)	50720	25.5%

Uppercase Letter

Value	Count	Frequency (%)
C	2757	25.5%
N	1580	14.6%
Y	994	9.2%
R	949	8.8%
H	646	6.0%
E	641	5.9%
T	622	5.8%
S	612	5.7%
O	606	5.6%
W	592	5.5%
Other values (12)	801	7.4%

Other Punctuation

Value	Count	Frequency (%)
,	4123	68.2%
.	1911	31.6%
*	8	0.1%
:	2	< 0.1%
'	2	< 0.1%
/	1	< 0.1%

Decimal Number

Value	Count	Frequency (%)
9	585	33.3%
0	585	33.3%
2	584	33.3%
8	1	0.1%

Space Separator

Value	Count	Frequency (%)
	39725	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	4	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	209341	81.5%
Common	47535	18.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	30722	14.7%
i	18938	9.0%
t	17868	8.5%
r	14463	6.9%
o	14047	6.7%
s	13319	6.4%
n	12972	6.2%
a	10673	5.1%
y	8346	4.0%
l	6473	3.1%
Other values (36)	61520	29.4%

Common

Value	Count	Frequency (%)
	39725	83.6%
,	4123	8.7%
.	1911	4.0%
9	585	1.2%
0	585	1.2%
2	584	1.2%
*	8	< 0.1%
(	4	< 0.1%
)	4	< 0.1%
:	2	< 0.1%
Other values (3)	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	256876	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	39725	15.5%
e	30722	12.0%
i	18938	7.4%
t	17868	7.0%
r	14463	5.6%
o	14047	5.5%
s	13319	5.2%
n	12972	5.0%
a	10673	4.2%
y	8346	3.2%
Other values (49)	75803	29.5%

posting_date
Text

Distinct	272
Distinct (%)	27.2%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

Length

Max length	23
Median length	23
Mean length	23
Min length	23

Characters and Unicode

Total characters	23000
Distinct characters	14
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	106 ?
Unique (%)	10.6%

Sample

1st row	2023-07-11T00:00:00.000
2nd row	2023-07-31T00:00:00.000
3rd row	2023-07-28T00:00:00.000
4th row	2023-06-06T00:00:00.000
5th row	2023-10-06T00:00:00.000

Value	Count	Frequency (%)
2023-10-06t00:00:00.000	27	2.7%
2023-09-29t00:00:00.000	23	2.3%
2023-09-28t00:00:00.000	23	2.3%
2023-11-09t00:00:00.000	21	2.1%
2023-08-29t00:00:00.000	16	1.6%
2023-08-24t00:00:00.000	16	1.6%
2023-07-31t00:00:00.000	16	1.6%
2023-09-07t00:00:00.000	16	1.6%
2023-10-24t00:00:00.000	15	1.5%
2023-11-03t00:00:00.000	14	1.4%
Other values (262)	813	81.3%

Most occurring characters

Value	Count	Frequency (%)
0	11277	49.0%
2	2580	11.2%
-	2000	8.7%
:	2000	8.7%
3	1079	4.7%
T	1000	4.3%
.	1000	4.3%
1	818	3.6%
9	298	1.3%
8	283	1.2%
Other values (4)	665	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17000	73.9%
Other Punctuation	3000	13.0%
Dash Punctuation	2000	8.7%
Uppercase Letter	1000	4.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11277	66.3%
2	2580	15.2%
3	1079	6.3%
1	818	4.8%
9	298	1.8%
8	283	1.7%
6	202	1.2%
7	181	1.1%
4	143	0.8%
5	139	0.8%

Other Punctuation

Value	Count	Frequency (%)
:	2000	66.7%
.	1000	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	2000	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	22000	95.7%
Latin	1000	4.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11277	51.3%
2	2580	11.7%
-	2000	9.1%
:	2000	9.1%
3	1079	4.9%
.	1000	4.5%
1	818	3.7%
9	298	1.4%
8	283	1.3%
6	202	0.9%
Other values (3)	463	2.1%

Latin

Value	Count	Frequency (%)
T	1000	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11277	49.0%
2	2580	11.2%
-	2000	8.7%
:	2000	8.7%
3	1079	4.7%
T	1000	4.3%
.	1000	4.3%
1	818	3.6%
9	298	1.3%
8	283	1.2%
Other values (4)	665	2.9%

post_until
Text

MISSING

Distinct	104
Distinct (%)	31.4%
Missing	669
Missing (%)	66.9%
Memory size	43.0 KiB

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	3641
Distinct characters	29
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	42 ?
Unique (%)	12.7%

Sample

1st row	28-NOV-2023
2nd row	23-NOV-2023
3rd row	16-DEC-2023
4th row	14-FEB-2024
5th row	21-DEC-2023

Value	Count	Frequency (%)
05-jan-2024	14	4.2%
28-nov-2023	13	3.9%
27-dec-2023	11	3.3%
14-feb-2024	10	3.0%
23-nov-2023	9	2.7%
05-dec-2023	9	2.7%
03-dec-2023	8	2.4%
08-dec-2023	8	2.4%
21-feb-2024	7	2.1%
15-nov-2023	7	2.1%
Other values (94)	235	71.0%

Most occurring characters

Value	Count	Frequency (%)
2	808	22.2%
-	662	18.2%
0	453	12.4%
3	230	6.3%
4	189	5.2%
E	158	4.3%
N	144	4.0%
1	128	3.5%
C	99	2.7%
D	95	2.6%
Other values (19)	675	18.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1986	54.5%
Uppercase Letter	993	27.3%
Dash Punctuation	662	18.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	158	15.9%
N	144	14.5%
C	99	10.0%
D	95	9.6%
A	91	9.2%
O	82	8.3%
V	78	7.9%
J	66	6.6%
B	59	5.9%
F	59	5.9%
Other values (8)	62	6.2%

Decimal Number

Value	Count	Frequency (%)
2	808	40.7%
0	453	22.8%
3	230	11.6%
4	189	9.5%
1	128	6.4%
5	46	2.3%
8	45	2.3%
7	39	2.0%
6	29	1.5%
9	19	1.0%

Dash Punctuation

Value	Count	Frequency (%)
-	662	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2648	72.7%
Latin	993	27.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	158	15.9%
N	144	14.5%
C	99	10.0%
D	95	9.6%
A	91	9.2%
O	82	8.3%
V	78	7.9%
J	66	6.6%
B	59	5.9%
F	59	5.9%
Other values (8)	62	6.2%

Common

Value	Count	Frequency (%)
2	808	30.5%
-	662	25.0%
0	453	17.1%
3	230	8.7%
4	189	7.1%
1	128	4.8%
5	46	1.7%
8	45	1.7%
7	39	1.5%
6	29	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3641	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	808	22.2%
-	662	18.2%
0	453	12.4%
3	230	6.3%
4	189	5.2%
E	158	4.3%
N	144	4.0%
1	128	3.5%
C	99	2.7%
D	95	2.6%
Other values (19)	675	18.5%

posting_updated
Text

Distinct	234
Distinct (%)	23.4%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

Length

Max length	23
Median length	23
Mean length	23
Min length	23

Characters and Unicode

Total characters	23000
Distinct characters	14
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	89 ?
Unique (%)	8.9%

Sample

1st row	2023-07-11T00:00:00.000
2nd row	2023-07-31T00:00:00.000
3rd row	2023-07-28T00:00:00.000
4th row	2023-08-08T00:00:00.000
5th row	2023-11-06T00:00:00.000

Value	Count	Frequency (%)
2023-11-09t00:00:00.000	31	3.1%
2023-10-06t00:00:00.000	26	2.6%
2023-09-29t00:00:00.000	25	2.5%
2023-10-24t00:00:00.000	24	2.4%
2023-11-03t00:00:00.000	20	2.0%
2023-11-08t00:00:00.000	17	1.7%
2023-10-17t00:00:00.000	17	1.7%
2023-10-30t00:00:00.000	17	1.7%
2023-09-28t00:00:00.000	17	1.7%
2023-09-11t00:00:00.000	16	1.6%
Other values (224)	790	79.0%

Most occurring characters

Value	Count	Frequency (%)
0	11256	48.9%
2	2530	11.0%
-	2000	8.7%
:	2000	8.7%
3	1112	4.8%
T	1000	4.3%
.	1000	4.3%
1	942	4.1%
9	328	1.4%
8	279	1.2%
Other values (4)	553	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17000	73.9%
Other Punctuation	3000	13.0%
Dash Punctuation	2000	8.7%
Uppercase Letter	1000	4.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11256	66.2%
2	2530	14.9%
3	1112	6.5%
1	942	5.5%
9	328	1.9%
8	279	1.6%
6	177	1.0%
7	168	1.0%
4	122	0.7%
5	86	0.5%

Other Punctuation

Value	Count	Frequency (%)
:	2000	66.7%
.	1000	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	2000	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	22000	95.7%
Latin	1000	4.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11256	51.2%
2	2530	11.5%
-	2000	9.1%
:	2000	9.1%
3	1112	5.1%
.	1000	4.5%
1	942	4.3%
9	328	1.5%
8	279	1.3%
6	177	0.8%
Other values (3)	376	1.7%

Latin

Value	Count	Frequency (%)
T	1000	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11256	48.9%
2	2530	11.0%
-	2000	8.7%
:	2000	8.7%
3	1112	4.8%
T	1000	4.3%
.	1000	4.3%
1	942	4.1%
9	328	1.4%
8	279	1.2%
Other values (4)	553	2.4%

process_date
Text

CONSTANT

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

Length

Max length	23
Median length	23
Mean length	23
Min length	23

Characters and Unicode

Total characters	23000
Distinct characters	9
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2023-11-14T00:00:00.000
2nd row	2023-11-14T00:00:00.000
3rd row	2023-11-14T00:00:00.000
4th row	2023-11-14T00:00:00.000
5th row	2023-11-14T00:00:00.000

Value	Count	Frequency (%)
2023-11-14t00:00:00.000	1000	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	10000	43.5%
1	3000	13.0%
2	2000	8.7%
-	2000	8.7%
:	2000	8.7%
3	1000	4.3%
4	1000	4.3%
T	1000	4.3%
.	1000	4.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17000	73.9%
Other Punctuation	3000	13.0%
Dash Punctuation	2000	8.7%
Uppercase Letter	1000	4.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10000	58.8%
1	3000	17.6%
2	2000	11.8%
3	1000	5.9%
4	1000	5.9%

Other Punctuation

Value	Count	Frequency (%)
:	2000	66.7%
.	1000	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	2000	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	22000	95.7%
Latin	1000	4.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10000	45.5%
1	3000	13.6%
2	2000	9.1%
-	2000	9.1%
:	2000	9.1%
3	1000	4.5%
4	1000	4.5%
.	1000	4.5%

Latin

Value	Count	Frequency (%)
T	1000	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10000	43.5%
1	3000	13.0%
2	2000	8.7%
-	2000	8.7%
:	2000	8.7%
3	1000	4.3%
4	1000	4.3%
T	1000	4.3%
.	1000	4.3%

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Other Punctuation

Decimal Number

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Control

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Other Punctuation

Decimal Number

Control

Space Separator

Open Punctuation

Close Punctuation

Dash Punctuation